Fault Diagnosis of Motor in Frequency Domain Signal by Stacked De-noising Auto-encoder-Reference-Cited by-同舟云学术

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Fault Diagnosis of Motor in Frequency Domain Signal by Stacked De-noising Auto-encoder

Published:2018 Issue:2 Volume:57 Page:223-242
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Zhao Xiaoping,Wu Jiaxin,Zhang Yonghong,Shi Yunqing,Wang Lihua

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Link

http://www.tspsub.com//uploads/attached/file/20181116/20181116025926_60737.pdf

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bearing condition monitoring via an unsupervised and enhanced stacked auto-encoder;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2024-05-19

2. Unsupervised Feature-Construction-Based Motor Fault Diagnosis;Sensors;2024-05-08

3. A novel residual global context shrinkage network based fault diagnosis method for rotating machinery under noisy conditions;Measurement Science and Technology;2024-04-24

4. Adaptive Bernstein change detector for high-dimensional data streams;Data Mining and Knowledge Discovery;2024-01-09

5. Idea of Motor Fault Diagnosis and Classification Using the Latent Vector of Autoencoder;IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society;2023-10-16

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