Original Release Date: April 5, 2017

Don't Hesitate, Investigate! A Closer Look at Reliability Improvement

It is not uncommon for organizations to conduct industrial investigations only on ad-hoc basis. Organizations typically do not calculate or recognize the total losses due to frequent equipment failures. The purpose of this presentation is to demonstrate the dependency between frequent failures and total losses, and guide organizations on an approach to eliminating those. 

Machine Learning-Powered Condition Monitoring for Utilities

The use of machine learning algorithms to predict when an asset will fail can help increase reliability and uptime and get maintenance costs under control. This technology can supplement human experts while providing significant advance notice of asset health issues by analyzing and learning from past asset health data. 

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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.

How We Think About Maintenance Is Itself Broken

How We Think About Maintenance Is Itself Broken

No one questions the perfect day to repair or replace an asset – the day before the asset breaks down.