SWDAE: A New Degradation State Evaluation Method for Metro Wheels With Interpretable Health Indicator Construction Based on Unsupervised Deep Learning-Reference-Cited by-同舟云学术

SWDAE: A New Degradation State Evaluation Method for Metro Wheels With Interpretable Health Indicator Construction Based on Unsupervised Deep Learning

Published:2024 Issue: Volume:73 Page:1-13
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Mao Wentao¹^ORCID,Wang Yu²^ORCID,Feng Ke³^ORCID,Kou Linlin⁴^ORCID,Zhang Yanna²^ORCID

Affiliation:

1. School of Computer and Information Engineering and the Engineering Laboratory of Intelligence Business & Internet of Things, Henan Normal University, Xinxiang, China

2. School of Computer and Information Engineering, Henan Normal University, Xinxiang, China

3. School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China

4. Technology Department, Beijing Mass Transit Railway Operation Corporation Ltd., Beijing, China

Funder

Key Technologies Research Development Joint Foundation of Henan Province

Key Scientific Research Project of Henan Provincial Higher Education

Graduate Research and Innovation Project of Henan Normal University

Independent Research and Development of Beijing subway

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10379143.pdf?arnumber=10379143

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