Sn. 2, #11 Allyson Hawley, Charli K. Matthews, and Blair Fraser: Working Towards Eradicating Gender Discrimination in Male Dominated Industries
Brought up in a mining family that had no time for gender stereotypes, Allyson Hawley, our guest on today’s show, was surprised when she began her mechanical engineering degree with hardly any fellow women students. Throughout her career in the male-dominated mining industry, Allyson has received a lot of support but has also experienced a lot of subtle and not-so-subtle discrimination based on the fact that she is a woman. As she explains, sometimes it’s difficult to identify discrimination, which is why it is so important to find a community that has your back. Allyson also shares the ways in which men in these fields can contribute to eradicating the issue of gender discrimination. We discuss how Allyson’s company is working towards increasing gender diversity in STEM fields, changes she has seen take place in her industry over the years, her take on the hiring process, and her thoughts about what it takes to create a sustainable future. Emily is joined by Blair Fraser and Charli K. Matthews as co-hosts and the combination of perspectives makes for an eye-opening discussion! Learn more about your ad choices. Visit megaphone.fm/adchoices
237 - Bringing Ultrasound to iIoT with Blair Fraser
Rooted in Reliability: The Plant Performance Podcast
Bringing Ultrasound to iIoT with Blair Fraser We’re glad to have Blair Fraser, the Global Director for IIoT Solutions at UE Systems. He’s been our guest on topics like Artificial Intelligence, IIoT, and other areas relating to tech and maintenance and reliability. Blair previously worked at Quartic and Lakeside Process Controls, getting involved in the tech side of reliability. His earlier career influences got him involved in maintaining assets on the plant floor. Blair will be giving us more insight on bringing ultrasound in the iIoT space. Blair Fraser of Quartic.ai shares some important insights as well as: How do we bring Ultrasound to IIoT? How is Ultrasound being brought into IIoT? Is Ultrasound qualitative or quantitative? …and so much more! How do we bring Ultrasound to IIoT? Vibration is fairly simple since we know what’s being measured and the parameters. But ultrasound isn’t always as quantitative. Sometimes, it’s qualitative. People say vibration is simple, but when you get into it, it’s not. They base that statement on the level of training people get to become, specifically CAT IV vibration people. Vibration is the more common technique to diagnose bearings since it’s a great technology. However, ultrasound fits in with vibration. Ultrasound, thermography, and oil analysis all fit into a bigger ecosystem. The main difference comes when you think of it from an IoT view of trying to capture data. But the goal should include insights as well. Data is the raw material to get to the new goal, which is insights. We’re trying to get those insights to make better decisions on the health and performance of an asset. 97% of our data doesn’t get used, yet we feel compelled to make more data. The challenge with any measuring technique is knowing what you’re trying to accomplish. First, we look at the IoT ecosystem. Blair likes to start by putting up all possible solutions out there. That gives the view that we shouldn’t have any plant issues since all problems have solutions. But the reality is that we still have issues, and not every problem has a solution. So, what are you trying to solve? That’s where ultrasound comes into IoT. Ultrasound uses Ultrasound is good at: Detecting or measuring friction Measuring impacting Measuring turbulence These make ultrasound, especially Structure Borne Ultrasound, great for things like compressed air leaks, bearing friction, cavitation, and leaky valves. That’s because these need pinpoint solutions. But that’s not to say having an ultrasound means no more failures. But it has very specific applications within the IoT ecosystem. How is Ultrasound being brought into IIoT? It’s a little bit of a quantitative and a qualitative approach, with our human senses also playing a part. Some of the challenges present with bearings come with getting quantitative data on good and bad bearings. This gets addressed, specifically, through using ultrasound, which gets used to validate other technologies. Rolling element bearings, also called anti-friction bearings, are meant to reduce friction. We’ve known this for many years. In studies, the question is usually, “How do most rolling element bearings fail?” Studies show that over 80% prematurely fail because of lubrication issues. This is interesting since we already know the issue is lubrication, but there’s no solution to solve it. Lubrication is our superhero against friction. But that’s what we’re fighting against when doing bearings and lubrication. There’s time-based lubrication that uses advanced calculations. In his early career days, Blair used to blindly plug in the numbers into a calculator. But looking from an IoT point of view, you need to check the variables. You have speed which impacts the friction and wears the grease or lubricant in a bearing. But nowadays, we’re moving to more energy conservation by controlling flow pressure with variable speed drives. The speed here is changing, including on and off duty cycles. Other coefficients are also present, like the room’s humidity, temperature, and vibration. But often, that doesn’t reflect what’s happening in the plant. People think that just because there’s data in the cloud that it’s a digital twin. A digital twin should be reflective of the current operational and health state of that equipment. If you can have such a digital twin then feed it into that calculation, it would be great. But we don’t. So, we use ultrasound to measure the friction. We start to think about what we can do with friction. If the friction goes down then it tells us we need lubrication. Is Ultrasound qualitative or quantitative? We know that if you can set a baseline on that bearing, the Structure Borne Ultrasound will measure the change in that friction. We’ll know the condition of that bearing when we see an eight-decibel change. You can also listen as the lube goes in, helping you judge based on the sound. The decibel change will indicate that the thin film on the bearings has gone away and it needs replenishing. We haven’t used time or any calculations for that, just the condition. It’s a quantitative number that can be put into the system to say a bearing needs lubrication. We need insights When you get an alert from an ultrasound system saying a bearing needs lubrication, you know exactly what to do. That’s a very descriptive quantitative alert but what we need is prescriptive. So, a bearing needs lubrication. What next? You can lube it or take a step further to determine how much lube is necessary. So, when looking at the 80% of premature bearing failures caused by lubrication, nearly 15% of that gets caused by inadequate lubrication. That could be either over or under greasing, with the former being more common. Quantitative ultrasound values come in decibels. So, for someone unfamiliar with ultrasound, you let them know they’re measuring friction. Dispense grease into that bearing, which will reduce the friction. The lower the friction the lower the decibel until you reach the baseline. That answers two questions quantitatively: When does a bearing require grease? How much grease is required? That’s in an ideal situation. In most cases, bearings may have defects that stop you from getting down to baseline. For such challenges, some logic has to come in from humans or automated systems. You should consider more than that best-case scenario. UE Systems’ OnTrak UE Systems’ IoT platform is OnTrak, with an exciting new feature coming out as well. But what does it provide for organizations and what are its applications apart from measuring friction? We’ve mentioned things like bearing monitoring or lubrication health monitoring, leaky valves and cavitation in pumps as the typical applications of Structure Borne Ultrasound. Then there’s the Airborne Ultrasound which gets primarily used for leak detection, the detection of corona discharge, partial discharge, and things like that in electrical distribution systems. The OnTrak can use either Structure Borne or Airborne Ultrasound to find the value. Customers and end-users don’t need IoT. They need a solution to their problem. Whether IoT can help solve that problem is like a piece in a puzzle. So, with the OnTrak, you have specific use case applications for bearing health and lubrication monitoring. Nearly everyone now is measuring vibration. But if you look at the P-F curve, where are people spending their time and money? The predictive domain, which comes after the failure has started to occur. So, would you rather prevent a failure or detect it as early as possible? Everyone’s racing to have systems that detect failures first rather than preventing them. So, the OnTrak system focuses on reducing those bearing failures from happening. It’s also a pro-active lubrication needs system to tell you when and how much lubrication to provide to that bearing. Failure prevention is better In reliability, we need to start focusing more on preventing failures than detecting them after they happen. That’s whether it’s in the design phase, spare parts storage, proper lubrication, or even installation. After all, predictive maintenance is waiting for something to fail before we react. We need to start celebrating preventing failure even though it’s not as quantitative as dealing with a failure. With the OnTrak, we looked into how people were using our ultrasound technology. The data got collected every month by our people. It was to determine if a bearing needs lubrication and, if so, how much. It also helped in picking up defects that go beyond the lubrication failure mode. With the current pandemic, we needed a way to get the data without sending people to go fetch it. So, the OnTrak gives people access to this data anywhere, any time, and from any device in real-time. Another perk with this system is that it works with other systems out there like OSI PI or Rockwell. Since it’s your data, you can send it wherever you want. There’s a cloud platform designed to work with the OnTrak system called UE Insights designed to measure friction and ultrasound. This system gets used to monitor lubrication as well as to send data to a larger system for a more comprehensive overview. It meets the key need that IoT aims for, which is to send data to multiple places. What’s included in UE Insights? AI is going to be a gamechanger to sift through all the data for insights you couldn’t find before. Now we need to look into where we’ll use AI within ultrasound. We’ve found that we don’t need advanced calculations or AI to make insightful decisions on the life and health of our bearings. Then it’ll come into play when you integrate ultrasound data into other technologies. That will use AI and ML to make things easier with the UE Insights platform. The biggest value in ML and AI will come when the data leaves our OnTrak system on UE Insights to go into a larger system. There, you’ll have access to: Process data Ultrasound Vibration Work order history Using OnTrak One of the challenges that came up with this system is that we can’t keep up with demand at the moment. However, if everyone goes to the study stating 80% of bearing issues relate to lubrication, they’ll find the most common issues. These include insufficient lubrication quantity, using the right grease, and contamination. Even with all the information out there, human error still comes in. So, unfortunately, the OnTrak doesn’t eliminate those failure modes of contamination and using the right grease. That’s where an automatic lubricator comes in. These get installed on a bearing and get based on time, providing the right grease type at the right time. So, we were able to integrate the technology of the ultrasound-guided or condition-based lubrication with the convenience and safety of the automatic lubrication devices. That’s the update getting released. Automatic lubrication devices were still based on time, with some having vibration centers built in. But when it dispenses, it tries to ensure the equipment is running and influence the duty. These are still on theoretical calculations but dispense with really good accuracy. It also remains contaminant-free and that you’re using the right grease. We’ve formed partnerships with these automatic lubrication devices, but they’re not going to be based on time. We get the value of the friction coming in from the OnTrak. It senses the change and dispenses, regardless of the ambient temperature and vibration, or how much time has passed. It still happens on condition anywhere, anytime, through a phone. You can lubricate that bearing with precision through ultrasound-guided feedback without having to physically show up. That’s all thanks to the alerts you get. One customer that tested this system found a 95% saving in lubrication tasks by not having to physically attend to the bearing. That’s because it even does an automatic PM on the bearing, with an alarm to notify you of the different reorder levels. You can get it on UEsystems.com/smartlube. More from UE Systems The pandemic has created a lot of restrictions. So, to ensure people can still learn new skills, we developed an online ultrasound training. We have a forecast system for very critical bearings where you can record the friction level, the sound recordings, and the WAV file. From that, you can do spectrum analysis with it. We then took that technology and brought it to electrical assets as part of our foresight systems. You can now monitor electrical cabinets, distribution cabinets, MCC panels looking for corona-partial discharge all online. We came up with the OnTrak, the UE Insights, and now the release of the SmartLube technology. For those interested in ultrasound technology, we’ll have releases happening from early 2021 to change the game further. Just as we’re looking to change things in the lubrication area, how else is this technology being used: Steam trap monitoring Valve leak monitoring Cavitation Eruditio Links: Eruditio HP Reliability James Kovacevic's LinkedIn Reliability Report Blair Fraser Links: Blair Fraser LinkedIn UE Systems UE Systems 4Cast UE Systems 4Site UE Systems OnTrak UE Systems SmartLube Download RSS iTunesStitcher Rooted In Reliability podcast is a proud member of Reliability.fm network. We encourage you to please rate and review this podcast on iTunes and Stitcher. It ensures the podcast stays relevant and is easy to find by like-minded professionals. It is only with your ratings and reviews that the Rooted In Reliability podcast can continue to grow. Thank you for providing the small but critical support for the Rooted In Reliability podcast! The post 237 – Bringing Ultrasound to iIoT with Blair Fraser appeared first on Accendo Reliability.
Blair Fraser & Steve Dobie Talk About the Future of the Show and Introduce the Two New Episode Themes
In their first podcast without Rob, Blair and Steve talk about the direction of the podcast and request feedback from the listeners on what they would like to hear! You can connect with our new hosts here: Blair Fraser - https://www.linkedin.com/in/thisisyourai/ Steve Dobie - https://www.linkedin.com/in/dobiesteven/ If your company sells products or services to engaged maintenance & reliability professionals, tell your marketing manager about Rob's Reliability Project. If you'd like to discuss advertising on my content, please email me at firstname.lastname@example.org Check out my website robsreliability.com and sign up for the weekly reliability newsletter with bonus content. If you like the show, please tell your colleagues about it and follow Rob's Reliability Project on LinkedIn and YouTube. Follow Rob's Reliability Project on LinkedIn - https://www.linkedin.com/company/robsreliabilityproject/ Follow Rob's Reliability Project on Facebook - https://www.facebook.com/robsreliabilityproject/ Music: The Descent by Kevin MacLeod Link: https://incompetech.filmmusic.io/song/4490-the-descent License: http://creativecommons.org/licenses/by/4.0/
Rob's Reliability Introduces its New Hosts, Blair Fraser & Steve Dobie
On this week's episode, I welcome the new hosts of Rob’s Reliability Project, Blair Fraser & Steve Dobie. In this podcast we discuss the host transition, as well as pervasive issues within reliability. You can connect with our new hosts here: Blair Fraser - https://www.linkedin.com/in/thisisyourai/ Steve Dobie - https://www.linkedin.com/in/dobiesteven/ If your company sells products or services to engaged maintenance & reliability professionals, tell your marketing manager about Rob's Reliability Project. If you'd like to discuss advertising on my content, please email me at email@example.com Check out my website robsreliability.com and sign up for the weekly reliability newsletter with bonus content. If you like the show, please tell your colleagues about it and follow Rob's Reliability Project on LinkedIn and YouTube. Follow Rob's Reliability Project on LinkedIn - https://www.linkedin.com/company/robsreliabilityproject/ Follow Rob's Reliability Project on Facebook - https://www.facebook.com/robsreliabilityproject/ Music by XTaKeRuX, Song: White Crow is licensed under a Creative Commons 4.0 Attribution License.
Xcelerate20 Features Blair Fraser with UE Systems on Disrupting Bearing Lubrication Through Automation
The Industrial Talk Podcast with Scott MacKenzie
Fluke Reliability's Xcelerate20 and the Industrial Talk Podcast is talking to Blair Fraser, Global Director of IIoT Solutions at UE Systems about "Disrupting Your Bearing Lubrication Through Automation". Get the answers to your "Bearing Lubrication" questions along with Blair's unique insight on the “How” on this Industrial Talk interview!It's been said that as many as 60% to 80% of premature bearing failures are lubrication related. Whether it is due to over lubrication, under lubrication, or simply using the wrong lubricant for the wrong application, it is still a lubrication related failure. One challenge for maintenance & reliability professionals is how to optimize their lubrication PM’s. Ultrasound technology is one way to assist in enhancing lubrication procedures. Using ultrasound, we can prevent lubrication failures due to over and under lubrication.You can find out more about Blair and the wonderful team at UE Systems by the links below. Finally, get your exclusive free access to the Industrial Academy and a series on “Why You Need To Podcast” for Greater Success in 2020. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy!BLAIR'S CONTACT INFORMATION:Personal LinkedIn: https://www.linkedin.com/in/thisisyourai/Company LinkedIn: https://www.linkedin.com/company/ue-systems/Company Website: https://uesystems.com/SIGNUP FOR FLUKE RELIABILITY'S XCELERATE20, RIGHT HERE RIGHT NOT - YOU WILL NOT BE DISSAPPOINTED![caption id="attachment_6977" align="alignnone" width="600"] Xcelerate20[/caption]PODCAST VIDEO:https://youtu.be/gngUTTYQPvwPODCAST TRANSCRIPT:lubrication, friction, IoT, IIoT, bearing, grease, data, people, blair, technology, lubricate, put, system, uesystems, industry, called, companies, lubricant, solution, talkSPEAKERSScott MacKenzie, Blair Fraser00:04Welcome to the industrial talk podcast with Scott MacKenzie. Scott is a passionate industry professional dedicated to transferring cutting edge industry focused innovations and trends while highlighting the men and women who keep the world moving.Scott MacKenzie 00:18So put on your hard hat, grab your work boots, and let's go Hey there, welcome to the industrial talk podcast. We are 100% You know, this, this platform, this industrial talkback platform is dedicated to you. But women and men of manufacturing the women and men of industry, you are bold, you are brave, you dare greatly. you innovate. But you innovate and you are changing lives and the world around you. That's why we celebrate you on this podcast pretty much every day. That's right. Now we're in love with you every single day. And that's why you are the heroes on this particular podcast. All right. Another great interview. And this is associated with Xcelerate20 right, Xcelerate20 that is a conference brought to you by those wonderful people at Fluke Reliability. We're going to be talking a little bit about that. His name is Blair Fraser. And that's f ra s. Er, ue systems is the company talking about i o t let's get rockin. Yep. All right, I want you to get out your calendar, paper pencil, something to mark it up. And I want to put this date down, you got to put these dates down on that particular calendar. It is November 17 to November 19. It is a virtual conference. Of course, it is because we live in in this pandemic world right now. And it's Xcelerate20. That's Xcelerate20.Scott MacKenzie 01:48That is a conference brought to you by those incredible folks at roll Fluke Reliability. And I need for you to put that down. And and quite honestly, you know what's going to happen. You can also listen to Blair Fraser, he is one of the incredible one of many, trust me one of many incredible professionals that are going to be sharing how to do things the right way in the world of asset management, reliability, IoT industry for Dotto, and anything in between the theme, the theme of this particular event, and boy, is it timely, I just want to make sure you understand it is timely. And I'm going to look over here at my other computer because I want to make sure I get it straight. The six domains of resilience. Now, you know, as well as I do to build a business of resilience, and I've been preaching this on the industrial talk podcast is that you're going to have to collaborate, you're going to have to innovate, you're going to have to educate with a sense of speed and purpose, right. And you're going to have to be able to put these processes in place. So that if Lord willing, it doesn't happen. But if it does happen, you get hit by the the two finger death, blow of the COVID or some other unusual virus, you'll have a business of resiliency. So the themes that are going to be communicated to you going forward specifically with the Xcelerate20 casts of incredible professionals is the sixth domain of resilience. Number one, vision that is purpose goal. Right, and congruency. Okay. composure. That's, that's the other one. We're talking about reasoning, health, tenacity. And of course, my favorite, my favorite is collaboration. And I'm always into that. But all of this is wrapped up in, you're going to be innovating, you're going to be definitely educating. And it is an absolute honor, that I have the opportunity to not just speak to Blair but others that will be presenting at this particular conference. And I'm telling you, they're going to bring the lumber, they're going to bring the excitement, they're going to bring the energy because you deserve it because you need to learn about this. And this is a boy, it's just a timely topic, everything that's associated with, you know, industry for Dotto IoT devices, you name it, it is a timely conversation. Now, let's get on with the interview. Blair Frasier now want to make sure you understand that that is with an S S, not a z that's FRASER, you IE systems is the company he is the global director of iiot solutions at that wonderful fine business. And we are talking about in this particular episode talking about lubrication and strategies associated with using the IoT solutions and the devices associated with it so that you can properly lube your equipment which is very doggone important, I'm telling you right now, look into that. Reach out to them. Now, everything is going to be there, you're going to have to get involved once again, November 17, through the 19th. Xcelerate20 is the event. I'm going to have that link out there. If not, you just go onto Google and pop that in there. Make sure it's an axe, and you'll find all you need. Get engaged. Get on it. I'm going to be doing it. So shoot you. Alright, let's get on with that interview. Blair Frasier is the one in the hot seat. We had a great time. Enjoy the conversation. Blair, welcome to the industrial talk podcast absolute honor that you found time in your busy schedule to talk to the listeners of this fine podcast.Blair Fraser 05:41It is a fine podcast. Got it. Thank you so much. Yeah. Heck, yeah. Well, that's a way to start a podcast.Scott MacKenzie 05:49That's right. Thank you very much for joining. All right. That was excellent. Yeah. All right. For the listeners out there, you can tell that Blair's got a little spunk in him. He's quite peppery background into who you are, and why you're such a great professional there Blair. And then we're going to talk a little bit about lubrication.Blair Fraser 06:06Well, I can I can give you some background about a great side of me, but absolutely. So my name is Blair Fraser, I'm the director of IoT over at ue systems, ue systems been around for 40 years in the ultrasound business in preventive maintenance, energy optimization, things like that, using ultrasound as a technology. I started my career as boots on the ground, I'm actually an a not a very good one, a licensed electrician. And what I say is, is even my own family wouldn't hire me to install a light bulb. So I think that speaks to the, to my skill set from that perspective, because I didn't do it very long. And I do go back and, and get into engineering on the electrical and automation side. So yeah, I spent, I spent the first part of my career on the shop floor, which I think, brought me a lot of real sense real life. And then I've ventured out in the technology space, the last three years prior to joining YUI systems, I focused on artificial intelligence. One is a guy like me doing an artificial intelligence, I still don't know, to this day. And again, the way I learned artificial intelligence was through brute force. And that brought me into the technology game and now at YUI systems focusing on on technology, how can leverage the power of ultrasound and bring that to more people in a more convenient, more safe way? You know,Scott MacKenzie 07:19what's interesting about AI, I think pre virus, pre pandemic pre two fingered, you know, death punch, I believe that people said, innovation is important to my, my process, my manufacturing my industry, yeah, but I'm going to sort of run a two to five year timeline on it COVID hits, though, then all of a sudden, we need to create a business of resiliency, and, and at that base, we've got to be able to, I mean, we've got to bring the innovation, and that's where you sort of shine. And that's where ue systems shine. Because you're you're right there where you're creating solutions for businesses that keep them up and running as long as they possibly can, which is very important. Let's talk a bit about that.Blair Fraser 08:05Yeah, it is, I think from a point of resiliency, I think I think it was the CEO of GM said it best if you go into this pandemic, and come out the same way you came in, you fail to take an opportunity, right. And I think it's a challenge to all of us. And what we're seeing is, it's very clear to this day is those people that invested in innovation, or an automation or some part of their digital transformation process going in to COVID with pandadoc, whatever you want to call, I don't want to go down now. But you had a better opportunity in front of you from those that did not write and we can clearly see it. And I'm sure you've done this across all industries or certain industries that lag and there's gonna be many listeners go, yeah, that's me. Right. And we all have that excuse that I'm gonna compete and innovate. But I think what we've learned from this type of technology is small incremental steps, right? That is the key. And that's what we're trying to do a ue systems. I'll give you an example. You mentioned, you know, we help companies operate safer, more reliable, more energy efficient, and we do, but the key part to remember is we are one piece of a larger puzzle, right? And what I love what's happening in industry is the big giants, right? A companies and the small mom and pop shops now are all contributing to a better, more efficient work environment. See,Scott MacKenzie 09:21that's, that's interesting. You bring that up, because, you know, everybody understands that the one side of that sword and that sword is painful that that COVID sword, yes, we got it. People are hurting. There's some challenges the other side, and you just brought it up, you sort of touched upon it. There is a greater spirit of collaboration. There has to be and thereBlair Fraser 09:39has to be people listening to this podcast. We're the ones that running it. And I love it because the giant companies are not going to end the event I'm talking about vendors are not going to own the ecosystem. We've seen it we've seen companies try to we'll build this ecosystem for you and it's going to have everything No, you know what, you know what we're really good at altra sound you know what, we're not really good at a lot of Other things, so don't come to us with the other things, we are going to supply you with world class best in class altra sound solutions, use it for that, if you want to tie it into other systems, that's great. You're going to play in their sandbox,Scott MacKenzie 10:12too. And I love that. I think that that is a beautiful statement, because I, I really believe that and I believe the fact that when we start to, to look back, we're gonna say, Okay, yeah, some people, yeah, they didn't take advantage, but there's gonna be a lot of people who are saying, that was the best that that unfortunate situation was the best for my business. Because I was able to contact Blair, we created greater focus into what we needed to do just because we needed to, and we're not dealing with all the, you know, the, you know, the shiny objects outBlair Fraser 10:44there, it's great to be lots of shiny things. Yeah. And, and that's, that's what I tell people is, you can go and start to Google IoT solutions. And you can find so many solutions, I lost track, I used to keep track of them and follow them to see technology and I, I love technology, even it's from a competitor. I love it, right? Because we're all contributing to the better good, the sandbox is huge, right? But here's the and keep this in mind. I'm the director of IoT a UV systems, companies, people don't need IoT. Right, what they need is a solution to a problem. IoT is a mechanism is a tool that could possibly solve that problem, not guarantee it, but it's a it's a tool, a method to solve a problem, what you need to do is figure out how to solve a problem. And hopefully IoT has an aspect to that. I love it. And you're absolutely spot on. And I think those conversations are happening, because I think that people are saying, like, I can't, I can't dilly dally, I've got to come up with solutions to my problem. Right, those problems are what? Here's the reality and and another CEO of Microsoft, right, came out and said, digital transformation changed in more than two months that didn't last 10 years or something like that, and totally agree, because what are we seeing is, you know, a lot of us are gonna listen to this podcast, and we're sitting at home, I, I used to be on a plane every other day. I haven't left my house. I'm getting I don't know what to do. I got it like painted or something. Right. I haven't left my house. So here's the challenge. I'm now supporting customers, I'm having these conversations are in technical talks with all these companies, and I'm doing it from from my house, and it's something I could I thought was never possible before. You know, I'm a face to face person, I want to look you in the eyes, make sure I trust you see how you act, make sure you put your shopping cart away. Right. those type of things? And then and then, you know, do that. But I'm learning these face to face conversations. No, we're lucky we know each other from the past. Right? But what a difference these these technologies can do.Scott MacKenzie 12:41Right? And you're absolutely correct. And I think it's forever changed, right? I mean, it's it's harder for business to justify Blair to jump on a plane to go talk to somebody, when maybe it's just a 15 minute conversation, we could do it by zoom, and it'd be just every bit as effective. And I think that there are going to be other consequences that are resulting from this. And some people can say, Why do I need that office? Right? I just stay in your house and no talking, you know,Blair Fraser 13:08well, that's right. So here's the thing. Now, now many of us are getting overloaded with zoom meetings and things like that. Yeah. So you've been proven that these virtual meetings are way more tiring than actually meeting in person. So if you ever get done a day of just back to back meetings, and you're exhausted, you're like, I didn't do anything. Well, it was talking to a screen, but I'm exhausted. That's why. But we flip that on to the end of what we're seeing now with IoT, in particular condition monitoring. And I have gone out and said, I think we're at a crisis point, I think we have a serious problem with IoT and condition monitoring. Because I think we are getting so much data, so much data, we don't know what to do with now we can strap a sensor on to anything and get data. You don't necessarily what it means, right? And I come from me, I know the value of collecting data data, I still don't believe data is the new gold, I believe, insights. Yeah, new gold data is just the raw material, right? Gold is the iron ore if you will to get that gold. But we're focusing on capturing this data. And for the AI background, absolutely collect data. never delete data, always save that day. You never know when you need it. But really what we're trying to get to is insights, we're trying to solve that problem. How do we get to insights? So you can start to log in these systems and get all this information. But how do we get insights? Right? ButScott MacKenzie 14:23isn't there a way to be able to say, Okay, I'm collected data, and there's data, no man is a tsunami. And when somebody says I can, I can put an IoT device out there, and that device is cheap. And all I do is just sort of stick it out there. And now it's into the cloud, right? There's data everywhere, and it is a tsunami. The key is to be able to take that data and really create the parameters of saying, this is important data. This is not important data, get rid of that, because maybe it's not, but then of course, you want to save it all.Blair Fraser 14:55Yeah, of course. Yeah. No, and AI is gonna help it AI is gonna help you That data start to tell us and I love it big fan of artificial intelligence. But also, there is also there's data, there's insights and a very, very small portion of that data we're collecting is what I call actionable insights. What can I, what can I do from the data turned to insights turned to actual instance? I can do and let's let's talk about a bearing, for example. Yeah. So bearings, they're spinning around in our plants or our industry everywhere, right? It is said that 80% of premature bearing failures can be traced back to port lubrication practices. Right?Scott MacKenzie 15:38Yeah. Too much not enough. That's right. Whatever. It's just like, right. Yeah.Blair Fraser 15:44Right. So so it to me, it's a smoking gun. Right. Emma says, Well, I have a have a downtime issue with my rotating equipment. Well, your bearings, I think was SPF come up with the study saying less than 11% of roller elementary anti friction bearings meet their design life?Scott MacKenzie 15:58Less than 11%? Less than 11. So I don't know if it was 10.9. round down and sayBlair Fraser 16:0510%, we can say that, right? So...
Rooted in Reliability: The Plant Performance Podcast
The Impact of Industry 4.0 Industry 4.0 has two notable waves. The first constitutes of the Internet of Things (IoT) and Big Data. The second wave is what we're currently experiencing and constitutes of Artificial Intelligence, Augmented and Virtual Reality. Blair Fraser of Quartic.ai shares some important insights on the significance of Industry 4.0 as well as: Its benefit in the industry The technologies behind Industry 4.0 How Artificial Intelligence Works Considerations before diving into the new wave Pitfalls and ways to avoid a mismatch in the technology fit The Benefits of AI in Industry Industry 4.0 promises resilience in the way data is understood. In preceding generations, data from sensors and controllers was static. Tools under artificial intelligence, on the other hand, can make data more dynamic through manipulation to derive understanding. The second benefit of AI is that it makes insights more holistic. Rather than focusing on data from a pump alone, AI incorporates other system-level activities to create more reliable information. Processing power might be the only significant barrier to the performance of this new wave of technologies. Technologies that go into the implementation of Industry 4.0 Other significant technologies include: Big Data, which refers to data that comes from previously disconnected silos, as networks improve IIoT. The industrial Internet of Things refers to a new generation of networked sensors with access to the internet To make the most out of Industry 4.0, it is important to be clear on your requirements for the technology. You should ask yourself: What question am I asking AI to solve? The more specific the question, the better it is to design a solution around it. What is the outcome of successful implementation of Industry 4.0 Strategies Among the immediate benefits of implementing these strategies is a reduction in planned downtime. From a deeper understanding of equipment performance trends, AI can help operators understand degradation rates better and improve on efficiency. Process optimization is another visible benefit. A system-level approach to equipment performance can help derive better insights into improving operations. Prediction algorithms can also help enhance preventive maintenance strategies. The presence of dynamic data analysis allows the AI to verify scenarios that can lead to failure. Once defined, all this analysis can go on in the background without a lot of human intervention. Considerations to make before diving in Big Data, AI, and IoT have become trendy phrases, yet few people still understand how to get started working with them. At an industrial level, the same perception is not uncommon. It is not difficult to get started. Like any research project, you should be clear about your needs. Ask yourself: What specific equipment or process is under consideration? What is the key challenge with the equipment or process? What data is currently coming out of that particular system? What improvements do I need from this system? (Be as specific as possible) From here proceed to implement a proof of concept with the least resources. You don't need to be a fully-fledged data scientist to create an AI model. You only need to have an understanding of maths and basic statistics to get started. Common pitfalls to avoid when implementing Industry 4.0 strategies Do your due diligence before implementation. Make sure you have defined your needs to be as specifics as possible. Get support from the top management, and have buy-in from the team members. Ensure you maintain clear communication and involve the people who will be end-users. The IT department plays an important role in deploying AI infrastructure. Involve them as early in the project as you can. The main take-home from this episode is that you need to focus on solving the right problem, not just building AI. Eruditio Links: Eruditio HP Reliability James Kovacevic's LinkedIn Reliability Report Blair Fraser Links: Blair Fraser LinkedIn Quartic.Ai Quartic PdM Download RSS iTunesStitcher Rooted In Reliability podcast is a proud member of Reliability.fm network. We encourage you to please rate and review this podcast on iTunes and Stitcher. It ensures the podcast stays relevant and is easy to find by like-minded professionals. It is only with your ratings and reviews that the Rooted In Reliability podcast can continue to grow. Thank you for providing the small but critical support for the Rooted In Reliability podcast! The post 185-The Impact of Industry 4.0 with Blair Fraser appeared first on Accendo Reliability.
I sit down and have a great discussion about Machine Learning, Artificial Intelligence and how to apply them at your site with Blair Fraser, a digital transformation leader from Quartic.AI. Thank you for listening and if you enjoy the show, please subscribe to Rob's Reliability Project on your favourite podcast platform and share it with your colleagues. You can also follow Rob's Reliability Project on LinkedIn and Facebook and check out robsreliability.com as well. If you're looking for a shorter tip, subscribe to Rob's Reliability Tip of the Day on your favorite podcast platform or on your Amazon Alexa as a Flash Briefing. Finally, if there are any topics, guests you'd like to hear from, questions you want answered, or if you'd like to appear on the podcast, email me at firstname.lastname@example.org Follow Rob's Reliability Project on LinkedIn - https://www.linkedin.com/company/robsreliabilityproject/ Follow Rob's Reliability Project on Facebook - https://www.facebook.com/robsreliabilityproject/ Music by XTaKeRuX, Song: White Crow is licensed under a Creative Commons 4.0 Attribution License.