论文信息 - Research on Fault Diagnosis of High-Voltage Circuit Breaker Based on Support Vector Machine - 字舞流文

Research on Fault Diagnosis of High-Voltage Circuit Breaker Based on Support Vector Machine

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 d...

Di Miao | Di Miao

[1] Duoqian Miao,et al. Best basis-based wavelet packet entropy feature extraction and hierarchical EEG classification for epileptic detection , 2011, Expert Syst. Appl..

[2] F. Aminian,et al. Neural-network based analog-circuit fault diagnosis using wavelet transform as preprocessor , 2000 .

[3] Wenxin Yu,et al. The Faults Diagnostic Analysis for Analog Circuit Based on FA-TM-ELM , 2016, J. Electron. Test..

[4] Davar Giveki,et al. Automatic detection of erythemato-squamous diseases using PSO-SVM based on association rules , 2013, Eng. Appl. Artif. Intell..

[5] Yi Lin,et al. Support Vector Machines for Classification in Nonstandard Situations , 2002, Machine Learning.

[6] Farzan Aminian,et al. Analog fault diagnosis of actual circuits using neural networks , 2002, IEEE Trans. Instrum. Meas..

[7] D. Binu,et al. A survey on fault diagnosis of analog circuits: Taxonomy and state of the art , 2017 .

[8] Shulin Tian,et al. Feature Vector Selection Method Using Mahalanobis Distance for Diagnostics of Analog Circuits Based on LS-SVM , 2012, J. Electron. Test..

[9] Fan Yang,et al. Support vector machine with genetic algorithm for machinery fault diagnosis of high voltage circuit breaker , 2011 .