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...

Full description

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

Internet

https://www.mdpi.com/2076-3417/11/16/7685

Similar Items