DocumentCode :
631321
Title :
Fault diagnosis in analog electrical circuits: data-driven method
Author :
Zhirabok, Alexey ; Baranov, Alexander
Author_Institution :
Dept. of Autom. & Control, Far Eastern Fed. Univ., Vladivostok, Russia
fYear :
2013
fDate :
18-21 June 2013
Firstpage :
90
Lastpage :
95
Abstract :
The paper is devoted to the problem of fault detection in analog electrical circuits described by linear or nonlinear polynomial models. So-called data-driven method for fault detection is considered. This method assumes that parameters of the circuit under consideration may be unknown. It does not use methods of identification and allows checking whether or not parameters of some elements deviate considerably from their nominal values.
Keywords :
fault diagnosis; integrated circuit testing; polynomials; analog electrical circuits; data-driven method; fault detection; fault diagnosis; nonlinear polynomial models; Circuit faults; Equations; Fault detection; Fault diagnosis; Integrated circuit modeling; Mathematical model; Vectors; data-driven method; electrical circuit; fault detection; linear models; polynomial models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Process Control (PC), 2013 International Conference on
Conference_Location :
Strbske Pleso
Print_ISBN :
978-1-4799-0926-1
Type :
conf
DOI :
10.1109/PC.2013.6581389
Filename :
6581389
Link To Document :
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