Maintenance Prediction through Sensing Using Hidden Markov Models—A Case Study

Maintenance Prediction through Sensing Using Hidden Markov Models—A Case Study

The availability maximization is a goal for any organization because the equipment downtime implies high non-production costs and, additionally, the abnormal stopping and restarting usually imply loss of product’s quality. In this way, a method for predicting the equipment’s health state is vital to...

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Bibliographic Details
Main Authors:	Alexandre Martins, Inácio Fonseca, José Torres Farinha, João Reis, António J. Marques Cardoso
Format:	Article
Language:	English
Published:	MDPI AG 2021-08-01
Series:	Applied Sciences
Subjects:	Hidden Markov Models industrial sensors condition-based maintenance big data cluster analysis principal component analysis
Online Access:	https://www.mdpi.com/2076-3417/11/16/7685

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