Intelligent Fault Diagnosis Method for Industrial Processing Equipment by ICECNN-1D

Intelligent Fault Diagnosis Method for Industrial Processing Equipment by ICECNN-1D

Intelligent algorithm has been widely implemented to effectively diagnose faults in industrial instrument, electrical equipment and mechanical equipment. In addition, the rapid development of sensing technology generated enormous time series signal. Accordingly, diagnosing faults by analyzing time s...

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Bibliographic Details
Main Authors: Zhaofei Li, Yutao Jiang, Bowen Liu, Le Ma, Jianfeng Qu, Yi Chai
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Electronics
Subjects:
deep learning
Conventional Neural Network
time series signal
fault diagnosis
Online Access:https://www.mdpi.com/2079-9292/11/24/4207

Internet

https://www.mdpi.com/2079-9292/11/24/4207

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