A Novel Deep Learning Method for Intelligent Fault Diagnosis of Rotating Machinery Based on Improved CNN-SVM and Multichannel Data Fusion

A Novel Deep Learning Method for Intelligent Fault Diagnosis of Rotating Machinery Based on Improved CNN-SVM and Multichannel Data Fusion

Intelligent fault diagnosis methods based on deep learning becomes a research hotspot in the fault diagnosis field. Automatically and accurately identifying the incipient micro-fault of rotating machinery, especially for fault orientations and severity degree, is still a major challenge in the field...

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Bibliographic Details
Main Authors: Wenfeng Gong, Hui Chen, Zehui Zhang, Meiling Zhang, Ruihan Wang, Cong Guan, Qin Wang
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Sensors
Subjects:
intelligent fault diagnosis
convolutional neural network
support vector machine
global average pooling
multichannel
data fusion
deep learning
rotating machinery
Online Access:https://www.mdpi.com/1424-8220/19/7/1693

Internet

https://www.mdpi.com/1424-8220/19/7/1693

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