A Real-Time Fault Detection Framework Based on Unsupervised Deep Learning for Prognostics and Health Management of Railway Assets
Author:
Affiliation:
1. Integrated Vehicle Health Management Centre, Cranfield University, Bedfordshire, Cranfield, U.K
2. Digital Engineering and Manufacturing Centre, Cranfield University, Bedfordshire, Cranfield, U.K
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09882101.pdf?arnumber=9882101
Reference38 articles.
1. Long Short-Term Memory
2. Data-Based Detection and Diagnosis of Faults in Linear Actuators
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