TY - JOUR N2 - This paper presents methods for optimal test frequencies search with the use of heuristic approaches. It includes a short summary of the analogue circuits fault diagnosis and brief introductions to the soft computing techniques like evolutionary computation and the fuzzy set theory. The reduction of both, test time and signal complexity are the main goals of developed methods. At the before test stage, a heuristic engine is applied for the principal frequency search. The methods produce a frequency set which can be used in the SBT diagnosis procedure. At the after test stage, only a few frequencies can be assembled instead of full amplitude response characteristic. There are ambiguity sets provided to avoid a fault tolerance masking effect. L1 - http://www.czasopisma.pan.pl/Content/110721/PDF-MASTER/(56-1)29.pdf L2 - http://www.czasopisma.pan.pl/Content/110721 PY - 2008 IS - No 1 EP - 38 KW - analog electronic circuits KW - fuzzy logic KW - analog fault diagnosis KW - gene expression programming KW - genetic algorithm KW - simulated annealing A1 - Jantos, P. A1 - Grzechca, D. A1 - Golonek, T. A1 - Rutkowski, J. VL - vol. 56 DA - 2008 T1 - Heuristic methods to test frequencies optimization for analogue circuit diagnosis SP - 29 UR - http://www.czasopisma.pan.pl/dlibra/publication/edition/110721 T2 - Bulletin of the Polish Academy of Sciences Technical Sciences ER -