Deep Decoupling Convolutional Neural Network for Intelligent Compound Fault Diagnosis

Deep Decoupling Convolutional Neural Network for Intelligent Compound Fault Diagnosis

Intelligent compound fault diagnosis of rotating machinery plays a crucial role for the security, high-efficiency, and reliability of modern manufacture machines, but identifying and decoupling the compound fault are still a great challenge. The traditional compound fault diagnosis methods focus on...

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Bibliographic Details
Main Authors: Ruyi Huang, Yixiao Liao, Shaohui Zhang, Weihua Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Compound fault decoupling
deep decoupling convolutional neural network (DDCNN)
intelligent fault diagnosis
rotating machinery
decoupling classifier
Online Access:https://ieeexplore.ieee.org/document/8573572/

Internet

https://ieeexplore.ieee.org/document/8573572/

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