Methods of Handling the Tolerance and Test-Point Selection Problem for Analog-Circuit Fault Diagnosis

2011 ◽  
Vol 60 (1) ◽  
pp. 176-185 ◽  
Author(s):  
Chenglin Yang ◽  
Shulin Tian ◽  
Bing Long ◽  
Fang Chen
Keyword(s):  
Fault Diagnosis ◽  
Analog Circuit ◽  
Test Point ◽  
Selection Problem ◽  
Point Selection ◽  
Test Point Selection ◽  
Circuit Fault Diagnosis

scholarly journals Test Point Selection Method for Analog Circuit Fault Diagnosis Based on Similarity Coefficient

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Qingfeng Ma ◽  
Yuzhu He ◽  
Fuqiang Zhou ◽  
Ping Song
Keyword(s):  
Analog Circuit ◽  
Selection Method ◽  
Test Point ◽  
Similarity Coefficient ◽  
Fault Isolation ◽  
Point Selection ◽  
Testability Analysis ◽  
Test Point Selection ◽  
Point Set ◽  
Circuit Fault Diagnosis

The demand for testability analysis has increased with the integration densities and complexity of circuits. As an important part of testability analysis, the test point selection method needs to be researched in depth. A new similarity coefficient criterion is proposed to determine the fault isolation degree because output responses of a circuit with component tolerance are approximately subject to the normal distribution. Then, a new test point selection method is proposed based on the fault-pair similarity coefficient criterion information table. Simulation experiments are used to validate the accuracy of the proposed method in terms of the optimum test point set and fault isolation degree. The results show that the proposed method improves the performance of test point selection by comparing with the other reported methods.

scholarly journals Entropy Based Test Point Evaluation and Selection Method for Analog Circuit Fault Diagnosis

2014 ◽  
Vol 2014 ◽  
pp. 1-16 ◽  
Author(s):  
Yuan Gao ◽  
Chenglin Yang ◽  
Shulin Tian ◽  
Fang Chen
Keyword(s):  
Analog Circuit ◽  
Selection Process ◽  
Test Point ◽  
Point Selection ◽  
Optimal Test ◽  
Graph Node ◽  
Test Point Selection ◽  
Test Points ◽  
Circuit Fault Diagnosis ◽  
Dependence Relationship

By simplifying tolerance problem and treating faulty voltages on different test points as independent variables, integer-coded table technique is proposed to simplify the test point selection process. Usually, simplifying tolerance problem may induce a wrong solution while the independence assumption will result in over conservative result. To address these problems, the tolerance problem is thoroughly considered in this paper, and dependency relationship between different test points is considered at the same time. A heuristic graph search method is proposed to facilitate the test point selection process. First, the information theoretic concept of entropy is used to evaluate the optimality of test point. The entropy is calculated by using the ambiguous sets and faulty voltage distribution, determined by component tolerance. Second, the selected optimal test point is used to expand current graph node by using dependence relationship between the test point and graph node. Simulated results indicate that the proposed method more accurately finds the optimal set of test points than other methods; therefore, it is a good solution to minimize the size of the test point set. To simplify and clarify the proposed method, only catastrophic and some specific parametric faults are discussed in this paper.

Two Heuristic Algorithms for Test Point Selection in Analog Circuit Diagnoses

2011 ◽  
Vol 18 (1) ◽  
pp. 115-128 ◽  
Author(s):  
Andrzej Pułka
Keyword(s):  
Expert System ◽  
Analog Circuit ◽  
Heuristic Algorithms ◽  
Test Point ◽  
Optimization Techniques ◽  
Point Selection ◽  
Test Point Selection ◽  
Knowledge Base Construction ◽  
New Algorithms ◽  
Analog Circuit Diagnosis

Two Heuristic Algorithms for Test Point Selection in Analog Circuit Diagnoses The paper presents a heuristic approach to the problem of analog circuit diagnosis. Different optimization techniques in the field of test point selection are discussed. Two new algorithms: SALTO and COSMO have been introduced. Both searching procedures have been implemented in a form of the expert system in PROLOG language. The proposed methodologies have been exemplified on benchmark circuits. The obtained results have been compared to the others achieved by different approaches in the field and the benefits of the proposed methodology have been emphasized. The inference engine of the heuristic algorithms has been presented and the expert system knowledge-base construction discussed.

Fault Diagnosis of the Armored Vehicle Gear Transmission System Based on Response Analysis

2014 ◽  
Vol 533 ◽  
pp. 342-345
Author(s):  
Zhu Ting Yao ◽  
Hong Xia Pan
Keyword(s):  
Fault Diagnosis ◽  
Condition Monitoring ◽  
Transmission System ◽  
Test Point ◽  
Gear Transmission ◽  
Response Analysis ◽  
Point Selection ◽  
Test Point Selection ◽  
Gear Transmission System ◽  
Armored Vehicle

Gear transmission system is as an important part of the armored vehicle, and its work reliability is directly related to the working performance of the armored vehicle. Based on introducing the need on condition monitoring and fault diagnosis of gear transmission system, the response methods on condition monitoring and fault diagnosis are expressed in the gear transmission system. Finally, an armored vehicle transmission system is as the research object, the test point selection, data acquisition and processing is studied. The paper shows how to use differ method such as the amplitude domain, frequency domain, demodulation analysis and wavelet analysis to extract fault characters and fault identification in the armored vehicle gear transmission system.

Optimal Selection Method of Test Points on Circuit Board Level

2014 ◽  
Vol 1006-1007 ◽  
pp. 1125-1128
Author(s):  
Xiu Sheng Duan ◽  
Sheng Jun Li ◽  
Jing Xiao ◽  
Jie Wang
Keyword(s):  
Fault Diagnosis ◽  
Feature Selection Method ◽  
Selection Method ◽  
Test Point ◽  
Circuit Board ◽  
Optimal Selection ◽  
Point Selection ◽  
Test Point Selection ◽  
Test Points ◽  
Board Level

Test point selection is the basic problem of fault diagnosis systems. It is also one of the key links in designing the condition monitoring system. Aiming at the optimizing the test points on circuit board level, an optimal selection method is proposed. It is the method which combines the SVM algorithm and the feature selection method. The principle and process of the method are discussed in detail and in the fault diagnosis experiment of a circuit board, the effectiveness is verified finally.

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