DocumentCode :
3096587
Title :
Support Vector Machine for Fault Diagnosis in Electrical Circuits
Author :
Siwek, Krzysztof ; Osowski, Stanislaw ; Markiewicz, Tomasz
Author_Institution :
Electr. Eng. Dept., Warsaw Univ. of Technol.
fYear :
2006
fDate :
38869
Firstpage :
342
Lastpage :
345
Abstract :
The paper presents an automatic system for diagnosis of the parametric fault of the individual elements of the electrical circuit on the basis of external measurements of the voltage and current in this circuit. The fundamental role fulfills here the nonlinear signal processing performed by the support vector machine of the Gaussian kernel. The paper presents the results of numerical experiments on the basis of the measurements made in real RC ladder network
Keywords :
Gaussian processes; RC circuits; electric current measurement; fault diagnosis; ladder networks; signal processing; support vector machines; voltage measurement; Gaussian kernel; RC ladder network; current measurement; electrical circuits; fault diagnosis; nonlinear signal processing; support vector machine; voltage measurement; Circuit analysis; Circuit faults; Circuit testing; Current measurement; Fault diagnosis; Frequency measurement; Shape measurement; Support vector machine classification; Support vector machines; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Symposium, 2006. NORSIG 2006. Proceedings of the 7th Nordic
Conference_Location :
Rejkjavik
Print_ISBN :
1-4244-0412-6
Electronic_ISBN :
1-4244-0413-4
Type :
conf
DOI :
10.1109/NORSIG.2006.275251
Filename :
4052246
Link To Document :
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