Title :
Operating state monitoring and fault diagnosis on traction power supply system
Author :
Xiaqing, Li ; Shengtao, Fan ; Yanqing, Lu
Author_Institution :
Dept. of Inf. Eng., Beijing Inst. of Petrochem. Technol., Beijing
Abstract :
How to extract fault feature and divide pattern space is very important for the fault diagnosis. The traveling wave signal characteristic of over-head contact system is analyzed on the base of electromagnetic field theory; the eigenvector is constructed by the wavelet packet energy spectrum. The tests prove that the method in which the traveling wave feature is extracted in terms of wavelet packet energy spectrum is very available. The arithmetic of the pattern recognition is simplified using the method and the accuracy of the fault diagnosis is improved obviously.
Keywords :
eigenvalues and eigenfunctions; electromagnetic field theory; fault diagnosis; feature extraction; power overhead lines; power system measurement; power transmission faults; power transmission protection; traction power supplies; wavelet transforms; eigenvector; electromagnetic field theory; fault diagnosis; fault feature extraction; operating state monitoring; over-head contact system; pattern recognition; traction power supply system; traveling wave signal characteristics; wavelet packet energy spectrum; Electromagnetic analysis; Electromagnetic field theory; Fault diagnosis; Feature extraction; Monitoring; Signal analysis; Space exploration; Traction power supplies; Wavelet analysis; Wavelet packets;
Conference_Titel :
Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1717-9
Electronic_ISBN :
978-1-4244-1718-6
DOI :
10.1109/ICIEA.2008.4582639