Predictive Maintenance: A Novel Framework for a Data-Driven, Semi-Supervised, and Partially Online Prognostic Health Management Application in Industries

Predictive Maintenance: A Novel Framework for a Data-Driven, Semi-Supervised, and Partially Online Prognostic Health Management Application in Industries

Prognostic Health Management (PHM) is a predictive maintenance strategy, which is based on Condition Monitoring (CM) data and aims to predict the future states of machinery. The existing literature reports the PHM at two levels: methodological and applicative. From the methodological point of view,...

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Bibliographic Details
Main Authors:	Francesca Calabrese, Alberto Regattieri, Marco Bortolini, Mauro Gamberi, Francesco Pilati
Format:	Article
Language:	English
Published:	MDPI AG 2021-04-01
Series:	Applied Sciences
Subjects:	Prognostic Health Management (PHM) incremental learning novelty detection semi-supervised learning edge computing case study
Online Access:	https://www.mdpi.com/2076-3417/11/8/3380

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