Data-Driven Prognostic Scheme for Bearings Based on a Novel Health Indicator and Gated Recurrent Unit Network
Author:
Affiliation:
1. School of Mechanical and Mechatronic Engineering, University of Technology Sydney, Sydney, NSW, Australia
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/9989328/09763048.pdf?arnumber=9763048
Reference34 articles.
1. Fault diagnosis of angle grinders and electric impact drills using acoustic signals
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4. A Bidirectional LSTM Prognostics Method Under Multiple Operational Conditions
5. Thermographic Fault Diagnosis of Ventilation in BLDC Motors
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