Simultaneous-Fault Diagnosis of Satellite Power System Based on Fuzzy Neighborhood <i>ζ</i>-Decision-Theoretic Rough Set
Due to the increasing complexity of the entire satellite system and the deteriorating orbital environment, multiple independent single faults may occur simultaneously in the satellite power system. However, two stumbling blocks hinder the effective diagnosis of simultaneous-fault, namely, the diffic...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/10/19/3414 |
| _version_ | 1797478187520753664 |
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| author | Laifa Tao Chao Wang Yuan Jia Ruzhi Zhou Tong Zhang Yiling Chen Chen Lu Mingliang Suo |
| author_facet | Laifa Tao Chao Wang Yuan Jia Ruzhi Zhou Tong Zhang Yiling Chen Chen Lu Mingliang Suo |
| author_sort | Laifa Tao |
| collection | DOAJ |
| description | Due to the increasing complexity of the entire satellite system and the deteriorating orbital environment, multiple independent single faults may occur simultaneously in the satellite power system. However, two stumbling blocks hinder the effective diagnosis of simultaneous-fault, namely, the difficulty of obtaining the simultaneous-fault data and the extremely complicated mapping of the simultaneous-fault modes to the sensor data. To tackle the challenges, a fault diagnosis strategy based on a novel rough set model is proposed. Specifically, a novel rough set model named FN<i>ζ</i>DTRS by introducing a concise loss function matrix and fuzzy neighborhood relationship is proposed to accurately mine and characterize the relationship between fault and data. Furthermore, an attribute rule-based fault matching strategy is designed without using simultaneous-fault data as training samples. The numerical experiments demonstrate the effectiveness of the FN<i>ζ</i>DTRS model, and the diagnosis experiments performed on a satellite power system illustrate the superiority of the proposed approach. |
| first_indexed | 2024-03-09T21:28:26Z |
| format | Article |
| id | doaj.art-535114a2918d4b5bac30ada4903bd871 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-09T21:28:26Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-535114a2918d4b5bac30ada4903bd8712023-11-23T21:01:12ZengMDPI AGMathematics2227-73902022-09-011019341410.3390/math10193414Simultaneous-Fault Diagnosis of Satellite Power System Based on Fuzzy Neighborhood <i>ζ</i>-Decision-Theoretic Rough SetLaifa Tao0Chao Wang1Yuan Jia2Ruzhi Zhou3Tong Zhang4Yiling Chen5Chen Lu6Mingliang Suo7Institute of Reliability Engineering, Beihang University, Beijing 100191, ChinaInstitute of Reliability Engineering, Beihang University, Beijing 100191, ChinaBeijing Institute of Radio Metrology and Measurement, China Aerospace Science and Industry Corporation Limited, Beijing 100039, ChinaShanghai Institute of Satellite Engineering, China Aerospace Science and Technology Corporation, Shanghai 201109, ChinaMarine Design and Research Institute of China, China State Shipbuilding Corporation Limited, Shanghai 200011, ChinaInstitute of Reliability Engineering, Beihang University, Beijing 100191, ChinaInstitute of Reliability Engineering, Beihang University, Beijing 100191, ChinaInstitute of Reliability Engineering, Beihang University, Beijing 100191, ChinaDue to the increasing complexity of the entire satellite system and the deteriorating orbital environment, multiple independent single faults may occur simultaneously in the satellite power system. However, two stumbling blocks hinder the effective diagnosis of simultaneous-fault, namely, the difficulty of obtaining the simultaneous-fault data and the extremely complicated mapping of the simultaneous-fault modes to the sensor data. To tackle the challenges, a fault diagnosis strategy based on a novel rough set model is proposed. Specifically, a novel rough set model named FN<i>ζ</i>DTRS by introducing a concise loss function matrix and fuzzy neighborhood relationship is proposed to accurately mine and characterize the relationship between fault and data. Furthermore, an attribute rule-based fault matching strategy is designed without using simultaneous-fault data as training samples. The numerical experiments demonstrate the effectiveness of the FN<i>ζ</i>DTRS model, and the diagnosis experiments performed on a satellite power system illustrate the superiority of the proposed approach.https://www.mdpi.com/2227-7390/10/19/3414simultaneous-fault diagnosisrough setattribute reductionsatellite power system |
| spellingShingle | Laifa Tao Chao Wang Yuan Jia Ruzhi Zhou Tong Zhang Yiling Chen Chen Lu Mingliang Suo Simultaneous-Fault Diagnosis of Satellite Power System Based on Fuzzy Neighborhood <i>ζ</i>-Decision-Theoretic Rough Set Mathematics simultaneous-fault diagnosis rough set attribute reduction satellite power system |
| title | Simultaneous-Fault Diagnosis of Satellite Power System Based on Fuzzy Neighborhood <i>ζ</i>-Decision-Theoretic Rough Set |
| title_full | Simultaneous-Fault Diagnosis of Satellite Power System Based on Fuzzy Neighborhood <i>ζ</i>-Decision-Theoretic Rough Set |
| title_fullStr | Simultaneous-Fault Diagnosis of Satellite Power System Based on Fuzzy Neighborhood <i>ζ</i>-Decision-Theoretic Rough Set |
| title_full_unstemmed | Simultaneous-Fault Diagnosis of Satellite Power System Based on Fuzzy Neighborhood <i>ζ</i>-Decision-Theoretic Rough Set |
| title_short | Simultaneous-Fault Diagnosis of Satellite Power System Based on Fuzzy Neighborhood <i>ζ</i>-Decision-Theoretic Rough Set |
| title_sort | simultaneous fault diagnosis of satellite power system based on fuzzy neighborhood i ζ i decision theoretic rough set |
| topic | simultaneous-fault diagnosis rough set attribute reduction satellite power system |
| url | https://www.mdpi.com/2227-7390/10/19/3414 |
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