A novel intelligent fault diagnosis method of rotating machinery based on signal-to-image mapping and deep Gabor convolutional adaptive pooling network-Reference-Cited by-同舟云学术

A novel intelligent fault diagnosis method of rotating machinery based on signal-to-image mapping and deep Gabor convolutional adaptive pooling network

Published:2022-11 Issue: Volume:205 Page:117716
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Li Wanxiang,Shang Zhiwu,Qian Shiqi,Zhang Baoren,Zhang Jie,Gao Maosheng

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference44 articles.

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4. Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data;Cheng;Neurocomputing,2020

5. A hybrid fine-tuned VMD and CNN scheme for untrained compound fault diagnosis of rotating machinery with unequal-severity faults;Dibaj;Expert Systems with Applications,2021

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