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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Bibliographic Details
Main Authors: Daoguang Yang, Hamid Reza Karimi, Len Gelman
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Sensors
Subjects:
Convolutional Neural Network
rotating machinery
fuzzy fusion
fault diagnosis
Online Access:https://www.mdpi.com/1424-8220/22/2/671

Internet

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

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