Shared Learning Library
Welcome to PEMAC's Shared Learning Library, a growing body of community created knowledge, built up and maintained by the PEMAC member community. Explore a range of articles, presentations and webcasts covering a wide range of maintenance, reliability and asset management subject areas. You can even find presentations from past MainTrain conferences and PEMAC Lunch & Learn webcasts.
To easily find what you are looking for the content of the Shared Learning Library can be filtered by both Maintenance Management and Asset Management subject areas using the options in the menu to the left of the screen.
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BoK Content Type:Presentation SlidesPresentation PaperBoK Content Source:MainTrain 2018Original date:Thursday, March 29, 2018In 2017, the LINK Automated People Mover (APM) at Toronto Pearson International Airport transported an average of 24,000 passengers per day — a 20% increase in passenger traffic from 2015, according to a 2017 report by the GTAA. To increase operational service levels, preventative maintenance optimization (PMO) initiatives were undertaken in 2015 and 2016 in co-ordination with the APM owner, manufacturer, and O&M service provider. The initiatives were designed to increase the overall day-to-day operational run-time of the LINK system while maintaining existing levels of safety and reliability. In this workshop, we’ll use the LINK APM system as a case study to discuss the requirements for successful PMO implementation, which include interorganizational communication and co-operation, RCM strategies, and due diligence as it relates to safety-related subsystems and processes. We’ll also offer a blueprint for similar optimization strategies.
Democratizing Predictive Maintenance through the Industrial Internet of ThingsBoK Content Type:Presentation SlidesPresentation PaperBoK Content Source:MainTrain 2018Original date:Wednesday, February 28, 2018With all the talk about big data and the IIoT, many are asking how can we use this in maintenance? The IIoT enables us to put sensors in any location where we might want to collect and analyze equipment condition and performance data. There are companies that offer predictive maintenance services, and some companies do this for themselves, in-house. Typically, it’s the larger companies that can afford this, but democratization has meant this has become available to a much broader market. But there are hurdles to taking advantage of this sort of continuous monitoring program, even for your most critical equipment. One, it’s expensive, whether you do it in-house or outsource. And two, there are data bottlenecks. Condition monitoring data comes is huge volumes and it’s all time-sensitive. Even if you can afford it, you need a data handling network with a lot of capacity. In this workshop, we’ll present a viable technical solution to the data bottleneck problem — based on a solution already proven in financial securities markets — that opens up these possibilities in the realm of plant continuous condition monitoring.