Health indicator construction of machinery based on end-to-end trainable convolution recurrent neural networks-Reference-Cited by-同舟云学术

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Health indicator construction of machinery based on end-to-end trainable convolution recurrent neural networks

Published:2020-01 Issue: Volume:54 Page:1-11
ISSN:0278-6125
Container-title:Journal of Manufacturing Systems
language:en
Short-container-title:Journal of Manufacturing Systems

Author:

Chen Longting,Xu Guanghua^ORCID,Zhang Sicong,Yan Wenqiang,Wu Qingqiang

Funder

Provincial Key Research Project of Shaanxi

Ministry of Industry and Information Technology of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Hardware and Architecture,Software,Control and Systems Engineering

Reference33 articles.

1. Deep learning for smart manufacturing: methods and applications;Wang;J Manuf Syst,2018

2. Order spectrogram visualization for rolling bearing fault detection under speed variation conditions;Wang;Mech Syst Signal Process,2019

3. Prognostic modelling options for remaining useful life estimation by industry;Sikorska;Mech Syst Signal Process,2011

4. Remaining useful life estimation–a review on the statistical data driven approaches;Si;Eur J Oper Res,2011

5. Machinery health prognostics: a systematic review from data acquisition to RUL prediction;Lei;Mech Syst Signal Process,2018

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