Novelty Detection with Autoencoders for System Health Monitoring in Industrial Environments

Novelty Detection with Autoencoders for System Health Monitoring in Industrial Environments

Predictive Maintenance (PdM) is the newest strategy for maintenance management in industrial contexts. It aims to predict the occurrence of a failure to minimize unexpected downtimes and maximize the useful life of components. In data-driven approaches, PdM makes use of Machine Learning (ML) algorit...

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Bibliographic Details
Main Authors: Francesco Del Buono, Francesca Calabrese, Andrea Baraldi, Matteo Paganelli, Francesco Guerra
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Applied Sciences
Subjects:
novelty detection
anomaly detection
autoencoder
predictive maintenance
Industry 4.0
Online Access:https://www.mdpi.com/2076-3417/12/10/4931

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https://www.mdpi.com/2076-3417/12/10/4931

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