Title :
An approach to analog fault diagnosis using genetic algorithms
Author :
Grasso, F. ; Manetti, S. ; Píccirilli, M.C.
Author_Institution :
Dept. of Electron. & Commun., Florence Univ., Firenze, Italy
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.
Keywords :
analogue circuits; circuit optimisation; fault simulation; genetic algorithms; analog circuits; analog fault diagnosis; genetic algorithms; multifrequency fault diagnosis; parametric faults; symbolic analysis techniques; Analog circuits; Circuit faults; Circuit stability; Circuit testing; Fault diagnosis; Frequency measurement; Genetic algorithms; Jacobian matrices; Nonlinear equations; Performance evaluation;
Conference_Titel :
Electrotechnical Conference, 2004. MELECON 2004. Proceedings of the 12th IEEE Mediterranean
Print_ISBN :
0-7803-8271-4
DOI :
10.1109/MELCON.2004.1346785
