DocumentCode :
569616
Title :
Research on the mechanical state parameter extraction method of high voltage circuit breakers
Author :
Fan, Yang ; Xiaoguang, Hu
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
fYear :
2012
fDate :
25-27 July 2012
Firstpage :
1062
Lastpage :
1066
Abstract :
High voltage circuit breakers play an important role in the power system. So it is necessary to implement the state detection of breakers in order to ensure stable and reliable running of the grid. The purpose of state detection is to provide reliable basis of maintenance by extracting mechanical state parameters accurately. This paper mainly focuses on the coil current signal feature extraction algorithm. To settle the problem of too much noise mixed with the current signal and signal distortion, the discrete wavelet transform algorithm is used to extract the coil current signal parameters. This paper also designs the FIR filter to extract stroke and speed parameters from travel-time waveform. The experiments show that the difference between the theoretical results and test results processed by the method in this paper is very small and the test results are able to accurately reflect operation states and mechanical features of high voltage circuit breakers.
Keywords :
FIR filters; circuit breakers; discrete wavelet transforms; feature extraction; power grids; power system reliability; FIR filter; coil current signal feature extraction algorithm; coil current signal parameter extraction; discrete wavelet transform algorithm; high voltage circuit breakers; mechanical state parameter extraction method; power system; signal distortion; travel-time waveform; Circuit breakers; Discrete wavelet transforms; Feature extraction; Finite impulse response filter; Low pass filters; FIR filter; high voltage circuit breaker; mechanical state parameters; wavelet denoising;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Informatics (INDIN), 2012 10th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-0312-5
Type :
conf
DOI :
10.1109/INDIN.2012.6301146
Filename :
6301146
Link To Document :
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