A POMDP-Based Optimization Method for Sequential Diagnostic Strategy With Unreliable Tests
This paper considers the sequential fault diagnosis problem with unreliable tests which exist widely in practice. This problem involves real-time inference of the most likely set of failure sources, i.e., fault state, based on unreliable test outcomes. The purpose of this paper is to optimize test s...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8721636/ |
| _version_ | 1818737255599046656 |
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| author | Yajun Liang Mingqing Xiao Xiaofei Wang Xilang Tang Haizhen Zhu Jianfeng Li |
| author_facet | Yajun Liang Mingqing Xiao Xiaofei Wang Xilang Tang Haizhen Zhu Jianfeng Li |
| author_sort | Yajun Liang |
| collection | DOAJ |
| description | This paper considers the sequential fault diagnosis problem with unreliable tests which exist widely in practice. This problem involves real-time inference of the most likely set of failure sources, i.e., fault state, based on unreliable test outcomes. The purpose of this paper is to optimize test set and diagnostic strategy so as to cut down the test cost while isolating the fault accurately, and a method for optimal diagnosis strategy based on partially observable Markov decision process (POMDP) is presented. The components of the POMDP tailed to optimizing the diagnostic strategy are specified, and the solution to the POMDP-based model, namely the optimal strategy, is obtained to describe the optimal test sequence for fault diagnosis. The performance of the proposed method is evaluated with simulation experiments. All the results indicate that this method performs good in diagnostic efficiency and accuracy, even compared with the strategies of traditional methods. |
| first_indexed | 2024-12-18T00:50:08Z |
| format | Article |
| id | doaj.art-a0fa2406793e470e991179e7ae04187a |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-18T00:50:08Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a0fa2406793e470e991179e7ae04187a2022-12-21T21:26:41ZengIEEEIEEE Access2169-35362019-01-017753897539710.1109/ACCESS.2019.29188678721636A POMDP-Based Optimization Method for Sequential Diagnostic Strategy With Unreliable TestsYajun Liang0https://orcid.org/0000-0002-3169-4872Mingqing Xiao1Xiaofei Wang2https://orcid.org/0000-0002-8482-6138Xilang Tang3Haizhen Zhu4Jianfeng Li5Institute of Aeronautics Engineering, Air Force Engineering University, Xi’an, ChinaInstitute of Aeronautics Engineering, Air Force Engineering University, Xi’an, ChinaInstitute of Aeronautics Engineering, Air Force Engineering University, Xi’an, ChinaInstitute of Aeronautics Engineering, Air Force Engineering University, Xi’an, ChinaInstitute of Aeronautics Engineering, Air Force Engineering University, Xi’an, ChinaInstitute of Aeronautics Engineering, Air Force Engineering University, Xi’an, ChinaThis paper considers the sequential fault diagnosis problem with unreliable tests which exist widely in practice. This problem involves real-time inference of the most likely set of failure sources, i.e., fault state, based on unreliable test outcomes. The purpose of this paper is to optimize test set and diagnostic strategy so as to cut down the test cost while isolating the fault accurately, and a method for optimal diagnosis strategy based on partially observable Markov decision process (POMDP) is presented. The components of the POMDP tailed to optimizing the diagnostic strategy are specified, and the solution to the POMDP-based model, namely the optimal strategy, is obtained to describe the optimal test sequence for fault diagnosis. The performance of the proposed method is evaluated with simulation experiments. All the results indicate that this method performs good in diagnostic efficiency and accuracy, even compared with the strategies of traditional methods.https://ieeexplore.ieee.org/document/8721636/Sequential fault diagnosisoptimal diagnostic strategyunreliable testsPOMDP |
| spellingShingle | Yajun Liang Mingqing Xiao Xiaofei Wang Xilang Tang Haizhen Zhu Jianfeng Li A POMDP-Based Optimization Method for Sequential Diagnostic Strategy With Unreliable Tests IEEE Access Sequential fault diagnosis optimal diagnostic strategy unreliable tests POMDP |
| title | A POMDP-Based Optimization Method for Sequential Diagnostic Strategy With Unreliable Tests |
| title_full | A POMDP-Based Optimization Method for Sequential Diagnostic Strategy With Unreliable Tests |
| title_fullStr | A POMDP-Based Optimization Method for Sequential Diagnostic Strategy With Unreliable Tests |
| title_full_unstemmed | A POMDP-Based Optimization Method for Sequential Diagnostic Strategy With Unreliable Tests |
| title_short | A POMDP-Based Optimization Method for Sequential Diagnostic Strategy With Unreliable Tests |
| title_sort | pomdp based optimization method for sequential diagnostic strategy with unreliable tests |
| topic | Sequential fault diagnosis optimal diagnostic strategy unreliable tests POMDP |
| url | https://ieeexplore.ieee.org/document/8721636/ |
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