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2min chapter
Predictive Maintenance Using Deep Learning and Reliability Engineering with Shayan Mortazavi - #540
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Using Reliableengenerin Logic, We Can Aggregate the Score at Component Level
Non parametric tressoling, non parametric thresol ting on top of that. From comparing the healty from actual then you calculate a score,. what we call anomaly score, let say, at sensor level. To feeding an anomaly scores from ten censors related to one component into the fault matrix, then you get a score per component, perpaliu mode, at any given time. Whith is compresso, we can follow the same and cover the entire asset by entire ascet, ug about like a gigantic oil rig or something.
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