A Fuzzy Fusion Rotating Machinery Fault Diagnosis Framework Based on the Enhancement Deep Convolutional Neural Networks

A Fuzzy Fusion Rotating Machinery Fault Diagnosis Framework Based on the Enhancement Deep Convolutional Neural Networks

Some artificial intelligence algorithms have gained much attention in the rotating machinery fault diagnosis due to their robust nonlinear regression properties. In addition, existing deep learning algorithms are usually dependent on single signal features, which would lead to the loss of some infor...

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Hlavní autoři: Daoguang Yang, Hamid Reza Karimi, Len Gelman
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2022-01-01
Edice:Sensors
Témata:
Convolutional Neural Network
rotating machinery
fuzzy fusion
fault diagnosis
On-line přístup:https://www.mdpi.com/1424-8220/22/2/671

Internet

https://www.mdpi.com/1424-8220/22/2/671

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