DocumentCode :
1739868
Title :
Time frequency analysis of transient signals
Author :
Jayashankar, V. ; Ranjan, R. Vanaja ; Babu, K. Lokesh ; Kumar, K. N Prashant ; Kumar, P. Pravin
Author_Institution :
Nat. Inst. of Ocean Technol., Madras, India
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
261
Abstract :
Voltage and current signals during lightning impulse tests on a transformer are treated as non-stationary signals. A new method incorporating signal-processing method such as wavelets and the Fourier transform is proposed for failure identification. It is now possible to distinguish failure during lightning tests as well as chopped lightning impulse tests. The method is experimentally validated on a transformer winding. The wavelet transforms enables the detection of the time of occurrence of switching or failure events. After establishing the time of occurrence, the original waveform is split into two or more sections. A Fourier transform of the individual section is performed. The frequency content of the waveform is analyzed in the various sections
Keywords :
Fourier transforms; impulse testing; lightning; power transformer testing; signal processing; time-frequency analysis; transients; wavelet transforms; Fourier transform; chopped lightning impulse tests; current signals; failure event; failure identification; lightning impulse tests; lightning tests; nonstationary signals; power transformer testing; signal-processing method; switching event; time frequency analysis; transformer winding; transient signals; voltage signals; waveform frequency content; wavelet transforms; wavelets; Fourier transforms; Impulse testing; Lightning; Power transformer insulation; Power transformers; Signal analysis; Signal processing; Time frequency analysis; Transient analysis; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2000. Proceedings
Conference_Location :
Kuala Lumpur
Print_ISBN :
0-7803-6355-8
Type :
conf
DOI :
10.1109/TENCON.2000.893583
Filename :
893583
Link To Document :
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