Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks

In modern industries, machine health monitoring systems (MHMS) have been applied wildly with the goal of realizing predictive maintenance including failures tracking, downtime reduction, and assets preservation. In the era of big machinery data, data-driven MHMS have achieved remarkable results in t...

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Veröffentlicht in:	IEEE transactions on industrial electronics (1982) Jg. 65; H. 2; S. 1539 - 1548
Hauptverfasser:	Zhao, Rui, Wang, Dongzhe, Yan, Ruqiang, Mao, Kezhi, Shen, Fei, Wang, Jinjiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.02.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Computational modeling Data mining Downtime Failure Fault detection Fault diagnosis feature engineering Feature extraction gated recurrent unit (GRU) Gearboxes Health Logic gates machine health monitoring (MHM) Machine learning Monitoring Predictive maintenance Representations Sensors Tool wear tool wear prediction Windows (intervals)
ISSN:	0278-0046, 1557-9948
Online-Zugang:	Volltext
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