Sequential-Fault Diagnosis Strategy for High-Speed Train Traction Systems Based on Unreliable Tests
Abstract
:1. Introduction
- Applying testability analysis to the testing capability analysis of train traction systems provides new ideas for evaluating the fault coverage and diagnostic capability of train traction system detection equipment, and provides new methods for improving the maintenance efficiency of train traction systems and constructing reasonable diagnostic strategies.
- In the testability modeling, the uncertainty of the test is considered, and the concept of test reliability is proposed, describing the probability that the test can accurately detect the failure of the system.
- The single-fault diagnosis strategy of the traction system is constructed based on information theory, which can more reasonably and efficiently meet the diagnosis requirements in actual scenarios.
2. Problem Statement
2.1. Traction System
2.2. Test Uncertainty Analysis
3. Methodology
3.1. Evaluation Index of Test Reliability
3.2. Evaluation Method of Test Reliability Based on the Cloud Model
- (1)
- Basic theory of the cloud model
- (2)
- Determination of the evaluation set
- (3)
- Determine expert weights
- (4)
- Construct a floating cloud evaluation matrix
- (5)
- Determine the weight of the evaluation indicators
- (6)
- Quantitative test reliability
3.3. Optimization Objectives of Fault Diagnosis Strategy
- (1)
- Problem componentsThe problem of solving a fault diagnosis tree via system fault reasoning is mainly composed of five factors, including a system fault fuzzy set , fault probability set , test set , diagnosis cost set, and system dependency matrix.
- (1)
- is the fault set of the system, where indicates that the system is in a normal condition without faults.
- (2)
- is a set representing failure probability, which is calculated from the failure rate. , where represents the probability of no faults in the system.
- (3)
- is the available test set.
- (4)
- represents the cost of isolating the fault when the fault occurs, i.e., the cost of fault diagnosis.
- (5)
- is the system fault–test dependency matrix. Considering the reliability of the test, this can be transformed into a fault–test dependency matrix based on reliability.
- (2)
- Optimization objectives
3.4. Fault Diagnosis Reasoning Based on Test Reliability Dependency Matrix
- (1)
- Reasoning theory of fault diagnosis when testing reliability
- (2)
- Reasoning theory for fault diagnosis when a test is unreliable
- (3)
- Construction method of fault diagnosis strategy based on test information
4. Case Study
4.1. Experimental Setup
4.2. Quantitative Evaluation of Traction System Test Reliability
- (1)
- Determination of expert weight
- (2)
- Comprehensive cloud assessment matrix
- (3)
- Determination of index weight
- (4)
- Quantification of test uncertainty
4.3. Construction of Traction System Diagnosis Strategy under Reliability Test and Unreliable Test
4.4. Comparative Analysis
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Evaluation Level | Influence of Test Error | Threshold Setting Rationality Influence | Impact of Environmental Noise | Influence of Sensor Reliability | Influence of Working Condition Disturbance |
---|---|---|---|---|---|
1 | great | great | great | great | great |
2 | larger | larger | larger | larger | larger |
3 | common | common | common | common | common |
4 | less | less | less | less | less |
5 | very small | very small | very small | very small | very small |
n | RI |
---|---|
1 | 0 |
2 | 0 |
3 | 0.58 |
4 | 0.9 |
5 | 1.12 |
6 | 1.24 |
7 | 1.32 |
8 | 1.41 |
9 | 1.45 |
Test | Reliability | Test | Reliability | Test | Reliability |
---|---|---|---|---|---|
0.9475 | 0.9529 | 0.9350 | |||
0.9436 | 0.9398 | 0.9387 | |||
0.9550 | 0.9322 | 0.9502 | |||
0.9436 | 0.9528 | 0.9580 | |||
0.9523 | 0.9511 | 0.9455 | |||
0.9416 | 0.9446 | 0.9549 | |||
0.9521 | 0.9588 | 0.9590 | |||
0.9513 | 0.9536 | 0.9538 | |||
0.9476 | 0.9366 |
Fault | Steps Required for Isolation | Fault | Steps Required for Isolation |
---|---|---|---|
24 | 19 | ||
27 | 21 | ||
28 | 20 | ||
28 | 20 | ||
26 | 19 | ||
26 | 21 | ||
23 | 7 | ||
23 | 8 | ||
16 | 10 | ||
16 | 9 | ||
15 | 12 | ||
4 | 11 | ||
6 | 13 | ||
5 | 14 |
Fault | Steps Required for Isolation | Fault | Steps Required for Isolation |
---|---|---|---|
25 | 20 | ||
26 | 21 | ||
28 | 18 | ||
28 | 18 | ||
27 | 20 | ||
24 | 21 | ||
23 | 13 | ||
24 | 12 | ||
16 | 10 | ||
16 | 15 | ||
14 | 7 | ||
17 | 8 | ||
6 | 9 | ||
5 | 11 |
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Li, M.; Zhou, Y.; Jia, L.; Qin, Y.; Wang, Z. Sequential-Fault Diagnosis Strategy for High-Speed Train Traction Systems Based on Unreliable Tests. Appl. Sci. 2023, 13, 8226. https://doi.org/10.3390/app13148226
Li M, Zhou Y, Jia L, Qin Y, Wang Z. Sequential-Fault Diagnosis Strategy for High-Speed Train Traction Systems Based on Unreliable Tests. Applied Sciences. 2023; 13(14):8226. https://doi.org/10.3390/app13148226
Chicago/Turabian StyleLi, Mengwei, Ying Zhou, Limin Jia, Yong Qin, and Zhipeng Wang. 2023. "Sequential-Fault Diagnosis Strategy for High-Speed Train Traction Systems Based on Unreliable Tests" Applied Sciences 13, no. 14: 8226. https://doi.org/10.3390/app13148226
APA StyleLi, M., Zhou, Y., Jia, L., Qin, Y., & Wang, Z. (2023). Sequential-Fault Diagnosis Strategy for High-Speed Train Traction Systems Based on Unreliable Tests. Applied Sciences, 13(14), 8226. https://doi.org/10.3390/app13148226