Fault Diagnosis of Conventional Circuit Breaker Contact System Based on Time-Frequency Analysis and Improved AlexNet

In order to eliminate the influence of parameter predefined caused by manual feature extraction, achieve fast feature extraction, and improve the recognition rate of fault diagnosis, a 2-D convolution neural network (CNN) method for fault diagnosis of conventional circuit breaker contact system is p...

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement 2021, Vol.70, p.1-12, Article 3508512
Hauptverfasser:	Sun, Shuguang, Zhang, Tingting, Li, Qin, Wang, Jingqin, Zhang, Wei, Wen, Zhitao, Tang, Yao
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Circuit breakers Circuit faults Contact system Continuous wavelet transform conventional circuit breaker Convolution convolution neural network (CNN) Engineering Engineering, Electrical & Electronic Fault diagnosis Feature extraction Instruments & Instrumentation Integrated circuit modeling Local optimization Mathematical models Modules Optimization algorithms Parameters Science & Technology Technology Time-frequency analysis vibration signal Vibrations Wavelet transforms
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