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A Method for Generating Diagnosis Relation Matrix Considering Stimulus Test
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A relational matrix and matrix technology, applied in the field of testing, can solve problems such as inaccurate test results and incorrect D-matrix diagnosis results, and achieve the effect of reducing complexity and analysis difficulty
Active Publication Date: 2020-07-03
BEIHANG UNIV
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Although the correct D-matrix relationship can be obtained through the modeling method of functional binding, when the D-matrix is used for diagnosis, because the stimulus test is not identified and explained, the relevant stimulus is not applied during the diagnostic test, and the test result is inaccurate. Finally, the diagnosis result based on the D matrix is incorrect
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[0091] like Figure 4 The amplifying circuit shown is the system under test. The system includes 6 stages of amplifying modules, each module has the function of amplifying the signal. The correlation graphic model of the circuit is as follows: Figure 5 shown. like Figure 5 As shown, the system under test includes 6 components, and the failure modes corresponding to each component are F 1 ,F 2 ,...,F 6 , there are two excitation sources E in the system under test 1 ,E 2 , a total of 5 tests, where T 1 , T 2 For stimulus testing, T 3 , T 4 , T 5 For the non-stimulus test, the method of the present invention is implemented below to test and diagnose the system under test.
[0092] Step 1: According to the association relationship ET between stimulus and stimulus test, and the reachable relationship FE between stimulus and fault, obtain the matrix FT describing the relationship between stimulus test and fault 1 .
[0093] According to the correlation between incenti...
example 1
[0117] Assume F 5 If a fault occurs, the voltage signal cannot be output normally, and the system is tested and diagnosed.
[0118] Run the simulation model, and the test values of each test point are as follows:
[0119] test point Monitoring value (voltage amplitude) Corresponding test results T 3
[0120] In turn, respectively add incentive E 1 ,E 2 ,T 1 , T 2 The test values are shown in the table below:
[0121] test point Monitoring value (voltage amplitude) Corresponding test results T 1
[0122] According to the test results, compared with each row in the fault-test-stimulus composite relationship matrix D, the test results and F can be obtained 5 The values in the corresponding rows are the same, and the diagnosis result is fault F 5 occur.
example 2
[0124] Assume F 6 If a fault occurs, the voltage signal cannot be output normally, and the system is tested and diagnosed.
[0125] Run the simulation model, and the test values of each test point are as follows:
[0126] test point Monitoring value (voltage amplitude) Corresponding test results T 3
[0127] In turn, respectively add incentive E 1 ,E 2 ,T 1 , T 2 The test values are shown in the table below:
[0128] test point Monitoring value (voltage amplitude) Corresponding test results T 1
[0129] According to the test results, compared with each row in the fault-test-stimulus composite relationship matrix D, the test results and F can be obtained 6 The values in the corresponding rows are the same, and the diagnosis result is fault F 6 occur.
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Abstract
The invention provides a method for generating a diagnostic relation matrix considering an excitation test. The method for generating the diagnostic relation matrix considering the excitation test isused for fault diagnosis of products with the excitation test. The method includes the steps that a matrix ET describing association relation between the test and excitation is obtained, a matrix FE describing accessible relation between an excitation source and a fault is obtained, and a matrix FT1 describing the association relation between the excitation test and the fault is obtained accordingto the matrixes ET and FE; according to signal flow relation between the fault and the excitation test, a matrix FT2 is established to describe the accessible relation between the fault and the excitation test; a matrix De describing first-order dependence relation between the fault and the excitation test is obtained through the matrixes FT1 and FT2; a matrix FT3 is established to describe the first-order dependence relation between the fault and a non-excitation test; and De, FT3 and ET are calculated by synthesis, a matrix D describing compositive relation of the fault, the test and the excitation is obtained finally, and the fault diagnosis is carried out according to the D. According to the method for generating the diagnostic relation matrix considering the excitation test, the complexity and analysis difficulty of a model are reduced, and system diagnosis including the excitation test is effectively supported.
Description
technical field [0001] The invention belongs to the technical field of testing, and in particular relates to a method for generating a diagnostic relationship matrix considering incentive testing under the correlation theory. Background technique [0002] The fault-test correlation matrix, referred to as the correlation matrix or D matrix, is a representation of the component unit faults and test correlations of the measured object. It can not only be used for product testability analysis, but also directly use it for fault analysis diagnosis. When the fault and test information of the product are known, the D matrix of the product can be obtained by using the functional block diagram and signal flow analysis. [0003] In practical applications, product testing usually includes two categories: stimulus testing (referred to as stimulus testing) and non-stimulus testing. Stimulus testing means that a stimulus signal must be applied during the test to obtain valid test result...
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