A procedure for the multifrequency fault diagnosis of analog circuits is presented. It permits, by means of an optimization procedure based on a genetic algorithm, to select the set of frequencies which better leads to locate parametric faults in analog circuits. By exploiting symbolic analysis techniques, a program implementing the proposed procedure has been developed. An example of the application is also included.

AN APPROACH TO ANALOG FAULT DIAGNOSIS USING GENETIC ALGORITHMS / F. GRASSO; S. MANETTI; M.C. PICCIRILLI. - STAMPA. - 1:(2004), pp. 111-114. (Intervento presentato al convegno MELECON 2004 tenutosi a DUBROVNIK) [10.1109/MELCON.2004.1346785].

AN APPROACH TO ANALOG FAULT DIAGNOSIS USING GENETIC ALGORITHMS

GRASSO, FRANCESCO;MANETTI, STEFANO;PICCIRILLI, MARIA CRISTINA
2004

Abstract

A procedure for the multifrequency fault diagnosis of analog circuits is presented. It permits, by means of an optimization procedure based on a genetic algorithm, to select the set of frequencies which better leads to locate parametric faults in analog circuits. By exploiting symbolic analysis techniques, a program implementing the proposed procedure has been developed. An example of the application is also included.
2004
Proceedings of the 12th IEEE Mediterranean Electrotechnical Conference (IEEE Cat. No.04CH37521)
MELECON 2004
DUBROVNIK
F. GRASSO; S. MANETTI; M.C. PICCIRILLI
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1088
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