Fault diagnosis of power capacitors using a convolutional neural network combined with the chaotic synchronisation method and the empirical mode decomposition method

Fault diagnosis of power capacitors using a convolutional neural network combined with the chaotic synchronisation method and the empirical mode decomposition method

Abstract This study combined a Convolutional Neural Network (CNN) with the chaos theory and the Empirical Mode Decomposition (EMD) method for the attenuation fault recognition of power capacitors. First, it built six capacitor analysis models, including normal capacitors, failed capacitors, and norm...

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Bibliographic Details
Main Authors: Shiue‐Der Lu, Hong‐Wei Sian, Meng‐Hui Wang, Cheng‐Chien Kuo
Format: Article
Language:English
Published: Wiley 2021-09-01
Series:IET Science, Measurement & Technology
Subjects:
Optical, image and video signal processing
Signal processing and detection
Computer vision and image processing techniques
Other topics in statistics
Capacitors
Online Access:https://doi.org/10.1049/smt2.12056

Internet

https://doi.org/10.1049/smt2.12056

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