Signal Processing System of Circuit Breaker Based on Virtual Instrument

Shu Tao Zhao; Dan Jiang; Xian Ping Zhao; Jian Feng Ren; Yu Tao Xu

doi:10.4028/www.scientific.net/AMM.687-691.4132

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Signal Processing System of Circuit Breaker Based...

Signal Processing System of Circuit Breaker Based on Virtual Instrument

Abstract:

In order to monitor the operating status of the circuit breaker, designed a multi-signal processing system based on the labview. The system acquisite multiple signals synchronous, and combined with MATLAB. Signal feature is extracted with time domain eigenvalues, EEMD decomposition, wavelet decomposition, and finally sent into ELM. The results demonstrate: that the system can achieve the accurate judgment of the operation state of the circuit breaker.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

4132-4135

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.4132

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Online since:

November 2014

Authors:

Shu Tao Zhao*, Dan Jiang, Xian Ping Zhao, Jian Feng Ren, Yu Tao Xu

Keywords:

Circuit Breaker, LabVIEW, MATLAB, Multi-Signal Processing, State Identification

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* - Corresponding Author

References

[1] CHEN Peng-yong, ZHAO Shu-tao, LI Jian-peng, et al. Research Machinery Fault Diagnosis of High Voltage Circuit Breaker Based on EMD and SVM[J]. Journal of North China Electric Power University(Natural Science Edition), 2012, 06: 23-28.

Google Scholar

[2] LI Jian-peng, ZHAO Shu-tao, XIA Yan-qing. Fault Diagnosis Based on Bispectrum and Hilbert-Huang Transform for Circuit Breaker[J]. Electric Power Automation Equipment, 2013, 02: 115-119+125.

Google Scholar

[3] ZHANG Pei, ZHAO Shu-tao, SHEN Lu, et al. Research on vibration and acoustic joint mechanical fault diagnosis method of high voltage circuit breaker based on improved EEMD[J]. Power System Protection and Control. 2014, 42(8): 77-81.

DOI: 10.4028/www.scientific.net/amm.687-691.1054

Google Scholar

[4] SUN Jian-wei, CHEN Lei, WANG Yu-mei, et. al. The Vibration Signal Monitoring System for Circuit Breaker Based on LabVIEW[J]. Transmission & Distribution, 2007, 03: 48-50.

Google Scholar

[5] TONG Li, PAN Hong-xia, HU Tian. Condition Monitoring and Fault Diagnosing System for Electromechanical Equipment Based on LabVIEW[J]. Instrument Technique and Sensor, 2008, 07: 34-35+49.

Google Scholar

[6] GE Shuang. Development of Experimental Platform of Gearbox Fault Diagnosis Based on Visual Instrument[D]. South China University of Technology, (2013).

Google Scholar

[7] YUAN Jinsha, ZHANG Liwei, WANG Yu, et al. Study of transformers fault diagnosis based on extreme learning machine [J]. Electrical Measurement & Instrumentation, 2013, 50(12): 21-26.

Google Scholar

[8] ZHANG Wen-bo, JI Hong-bing, WANG Lei, et. al. Multiple hidden layer output matrices extreme learning machine[J]. Systems Engineering and Electronics, 2014, 36.

Google Scholar