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.