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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

Pending Publication Date: 2019-05-07
JINLING INST OF TECH
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Problems solved by technology

[0008] Purpose of the invention: In order to overcome the deficiencies of the prior art, the present invention provides an analog circuit fault test and diagnosis method, which can solve the problem of low fault diagnosis rate and efficiency, failure to cover all fault types, and adaptability to temperature and noise environments problem of influence

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  • An analog circuit fault test and diagnosis method
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  • An analog circuit fault test and diagnosis method

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Embodiment Construction

[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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Abstract

The invention discloses an analog circuit fault test diagnosis method, which comprises the following steps of: acquiring fault information at each test node of a circuit to be diagnosed by adopting different types of power supply signals as test excitation signals; Determining an optimal test excitation signal and an optimal test node set by using a fuzzy clustering FCM algorithm according to thecollected fault information; Respectively acquiring fault feature information of the circuit in the determined optimal test node set; Carrying out dimension reduction on the fault feature informationby adopting a sparse random projection method, and carrying out normalization processing to obtain a preprocessed fault sample; And carrying out fault diagnosis on the fault sample by using a naive Bayes classifier. According to the invention, the optimal test excitation signal and the optimal test node set can be automatically selected, and the effect of analog circuit fault diagnosis is greatlyimproved. By adopting the sparse random projection method, redundancy and interference components of fault characteristic attribute types are removed, and the data preprocessing time can be saved.

Description

technical field [0001] The invention relates to the technical field of analog circuit testing, in particular to an analog circuit fault test and diagnosis method. Background technique [0002] Analog circuits are electronic circuits that process analog signals, that is, continuous signals in both time and amplitude, which exhibit many complex characteristics in fault diagnosis. Although many experts and scholars at home and abroad have carried out a lot of research on analog circuit fault diagnosis, and many analog circuit fault diagnosis methods have emerged, it is precisely because of the characteristics of analog circuit that the existing analog circuit fault diagnosis methods are not perfect. Based on the analysis and summary of the existing domestic and foreign analog circuit fault diagnosis research, it is found that there are still some problems in the existing analog circuit fault diagnosis methods: [0003] (1) The effect of analog circuit fault diagnosis is closel...

Claims

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Application Information

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IPC IPC(8): G06K9/62G01R31/316
Inventor 孙健胡国兵
Owner JINLING INST OF TECH
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