Online Condition Monitoring of Industrial Loads Using AutoGMM and Decision Trees

Online Condition Monitoring of Industrial Loads Using AutoGMM and Decision Trees

Condition monitoring and fault management approaches can help with timely maintenance planning, assure industry-wide continuous production, and enhance both performance and safety in complex industrial operations. At the moment, data-driven approaches for condition monitoring and fault detection are...

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Bibliographic Details
Main Authors:	Elia Brescia, Patrizia Vergallo, Pietro Serafino, Massimo Tipaldi, Davide Cascella, Giuseppe Leonardo Cascella, Francesca Romano, Andrea Polichetti
Format:	Article
Language:	English
Published:	MDPI AG 2023-12-01
Series:	Machines
Subjects:	anomaly and novelty detection automated Gaussian mixture model decision trees electrical industrial loads Gaussian mixture model online condition monitoring
Online Access:	https://www.mdpi.com/2075-1702/11/12/1082

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