Deep Learning-Based Intelligent Fault Diagnosis Methods Toward Rotating Machinery

Deep Learning-Based Intelligent Fault Diagnosis Methods Toward Rotating Machinery

Fault diagnosis of rotating machinery plays a significant role in the industrial production and engineering field. Owing to the drawbacks of traditional fault diagnosis methods, such as heavily dependence on human knowledge and professional experience, intelligent fault diagnosis based on deep learn...

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Bibliographic Details
Main Authors: Shengnan Tang, Shouqi Yuan, Yong Zhu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Deep learning
deep neural network
intelligent fault diagnosis
rotating machinery
Online Access:https://ieeexplore.ieee.org/document/8945322/

Internet

https://ieeexplore.ieee.org/document/8945322/

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