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.
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