Fault Diagnosis Method of Disconnector Based on CNN and D-S evidence theory

Most of the faults that occur on high-voltage disconnectors are non-self-announcing hidden failures that are challenging to detect and diagnose. In this paper, a deep learning-powered methodology for faults diagnosis of the disconnector is proposed. The methodology involves obtaining vibration and t...

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Veröffentlicht in:	IEEE transactions on industry applications 2023-09, Vol.59 (5), p.1-13
Hauptverfasser:	Wang, Qi, Zhang, Kaipu, Lin, Sheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks convolutional neural network (CNN) Convolutional neural networks Decision theory Dempster Shafer (D-S) evidence theory Evidence theory Fault detection Fault diagnosis Feature extraction Field tests High-voltage disconnector High-voltage techniques Machine learning Model testing Time domain analysis Torque Vibrations Wavelet transforms
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