A novel health indicator for intelligent prediction of rolling bearing remaining useful life based on unsupervised learning model-Reference-Cited by-同舟云学术

A novel health indicator for intelligent prediction of rolling bearing remaining useful life based on unsupervised learning model

Published:2023-02 Issue: Volume:176 Page:108999
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Xu Zifei^ORCID,Bashir Musa^ORCID,Liu Qinsong,Miao Zifan,Wang Xinyu,Wang Jin^ORCID,Ekere Nduka

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference46 articles.

1. Health indicator construction by quadratic function-based deep convolutional auto-encoder and its application into bearing RUL prediction;Chen;ISA Transactions,2021

2. Health indicator construction of machinery based on end-to-end trainable convolution recurrent neural networks;Chen;Journal of Manufacturing Systems,2020

3. A novel deep learning method based on attention mechanism for bearing remaining useful life prediction;Chen;Applied Soft Computing Journal,2020

4. A convolutional neural network based degradation indicator construction and health prognosis using bidirectional long short-term memory network for rolling bearings;Cheng;Advanced Engineering Informatics,2021

5. Machinery Health Monitoring Based on Unsupervised Feature Learning via Generative Adversarial Networks;Dai;IEEE/ASME Transactions on Mechatronics,2020

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