An analog circuit fault test and diagnosis method
A technology for simulating circuit faults and diagnosis methods, which is applied in the direction of analog circuit testing, electronic circuit testing, character and pattern recognition, etc. It can solve the problems of low fault diagnosis rate and efficiency, failure to cover fault types, etc., and achieve good fault diagnosis effect, good fault diagnosis performance, effect of improving effect
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[0034] Such as figure 1 As shown, the analog circuit test fault diagnosis method of the present invention comprises the following steps:
[0035] (1) Input different types of test excitation signals to the circuits to be diagnosed, which can be pulse signals, step signals, and sinusoidal signals. Collect circuit fault information at each measurable node. According to the collected fault information, the fuzzy clustering FCM algorithm is used to determine the optimal test excitation signal and the optimal test node set. details as follows:
[0036] Assuming that the total number of fault types of this circuit is k, all fault types are denoted as c 1 ,c 2 ,...,c k , determine the objective function of the FCM algorithm as:
[0037] The constraints are
[0038] Among them, U represents the original matrix, P represents the cluster center, u ik means x k The degree of membership with the i-th sample, m>1 is a weighted index,
[0039] d ik represents the sample point...
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