Fault Diagnosis of High Voltage Vacuum Circuit Breaker with Electromagnetic Repulsion Mechanism Based on Wavelet Packet Decomposition and Random Forest

Author(s):  
Zhanfeng Ma ◽  
Xuefei Chen ◽  
Shengbin Wu ◽  
Haibo Su ◽  
Jianbin Ye ◽  
...  
Author(s):  
Di Miao

In order to realize the diagnosis of the state of the high-voltage circuit breaker in the smart grid, the wavelet-packet technique is used to extract the characteristic value of the signal of the dynamic contact of the high-voltage circuit breaker. The characteristic value of the obtained signal is processed by fuzzy clustering, which inputs the processed feature values into the Support Vector Machine (SVM) to implement fault diagnosis. The high-voltage circuit breakers that need to be identified have the following faults: contact spring failure, trip spring shaft pinout, and trip spring failure. After the above series of processes, the paper reached the conclusion that it is feasible to use SVM to diagnose the high voltage circuit breaker fault system, which has a good diagnostic effect.


2015 ◽  
Vol 10 (3) ◽  
pp. 277-286 ◽  
Author(s):  
Diego Cabrera ◽  
Fernando Sancho ◽  
René-Vinicio Sánchez ◽  
Grover Zurita ◽  
Mariela Cerrada ◽  
...  

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