TRC-2018 Learning Zone 43:15
by Blair Fraser, Lakeside Controls

In the manufacturing and industrial world, Industry 4.0, Smart Industry and Industrial IoT have created a lot of buzz lately. Machine Learning, Artificial Intelligence and Big Data are at the top of the hype cycle. Digital transformation and the digital enterprise are on the top of the strategic initiatives list of every board room and C-suite. While Machine Learning and IIoT have the potential to transform entire supply chains, initial successful implementations are clearly emerging in maintenance and asset reliability. Predictive maintenance is being transformed to prescriptive maintenance by combining existing and new condition monitoring sensors with Machine Learning and Pattern Recognition. This new technology has the promise to solve problems never capable of being solved before, however, we have learned over the last five decades of implementing traditional condition monitoring technologies like vibration monitoring, the common pitfall is the adoption of new technology and work processes is the people. More so than ever, technology like machine learning and artificial intelligence will have a bigger impact on people as it can learn and adapt without humans in the loop. But can people still play a role in AI projects? Is subject matter expertise still required? This presentation will review how through implementing many IIOT and AI projects over the last two years, I learned how people play the biggest role in the success of these projects and tips to address the "who moved my cheese" culture changed required for projects to be successful.

Upcoming Events

August 9 - August 11 2022

MaximoWorld 2022

View all Events
banner
80% of Reliabilityweb.com newsletter subscribers report finding something used to improve their jobs on a regular basis.
Subscribers get exclusive content. Just released...MRO Best Practices Special Report - a $399 value!
DOWNLOAD NOW

Predictive Maintenance: ROI And How To Build The Business Case

In this ReliabilityTalk Coffee Break, Terrence O’Hanlon and Sean Gregerson from Aveva will discuss the roadblocks for building the business case for predictive maintenance. To assess the right ROI, it is key to understand what impact predictive maintenance could have for your business and how to set priorities accordingly and involve the stakeholders necessary for success.

Do you know which assets are critical to your business success and what data is needed to monitor assets or process anomalies? Learn what factors determine a successful pilot and what is needed to scale rapidly for a quick ROI.

Outage Management Using Projects: Implementation and Lessons Learned

Outage Management Using Projects: Implementation and Lessons Learned

Power plants manage outages multiple times a year. We will review the challenges we faced with the out of the box solution and the reports, custom fields, and new applications we created to manage the outage projects more efficiently and effectively.

Electrical Equipment: When Good Times Go Bad

Electrical Equipment: When Good Times Go Bad

It is easy to understand that we should properly maintain electrical equipment, but what is the potential risk associated with inadequate electrical equipment maintenance?

Digital Built America: Interview with Michael Salvato and Kariona Lord-Levins

Digital Built America: Interview with Michael Salvato and Kariona Lord-Levins

A conversation with Michael Salvato and Kariona Lord-Levins discussing the now and future of digital built America.