FMEA Risk Assessment Method for Aircraft Power Supply System Based on Probabilistic Language-TOPSIS
The failure mode and effect analysis (FMEA) method, which estimates the risk levels of systems or components solely based on the multiplication of simple risk rating indices, faces several limitations. These include the risk of inaccurate risk level judgment and the potential for misjudgments due to...
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MDPI AG
2025-06-01
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| Series: | Aerospace |
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| Online Access: | https://www.mdpi.com/2226-4310/12/6/548 |
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| author | Zicheng Xiao Zhibo Shi Jie Bai |
| author_facet | Zicheng Xiao Zhibo Shi Jie Bai |
| author_sort | Zicheng Xiao |
| collection | DOAJ |
| description | The failure mode and effect analysis (FMEA) method, which estimates the risk levels of systems or components solely based on the multiplication of simple risk rating indices, faces several limitations. These include the risk of inaccurate risk level judgment and the potential for misjudgments due to human factors, both of which pose significant threats to the safe operation of aircraft. Therefore, a Probabilistic Language based on a cumulative prospect theory (Probabilistic Language, PL) risk assessment strategy was proposed, combining the technique for order preference with similarity to an ideal solution (TOPSIS). The probabilistic language term value and probability value were fused in the method through the cumulative prospect theory, and a new PL measure function was introduced. The comprehensive weights of evaluation strategies were determined by calculating the relevant weights of various indicators through the subjective expert weight and objective entropy weight synthesis. So, a weighted decision matrix was constructed to determine the ranking order close to the ideal scheme. Finally, the risk level of each failure mode was ranked according to its close degree to the ideal situation. Through case validation, the consistency of risk ranking was improved by 23.95% compared to the traditional FMEA method. The rationality of weight allocation was increased by 18.2%. Robustness was also enhanced to some extent. Compared with the traditional FMEA method, the proposed method has better rationality, application, and effectiveness. It can provide technical support for formulating a new generation of airworthiness documents for the risk level assessment of civil aircraft and its subsystem components. |
| format | Article |
| id | doaj-art-1c81c364c1ed48919f7e441fa8a9c7c4 |
| institution | Kabale University |
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| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
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| series | Aerospace |
| spelling | doaj-art-1c81c364c1ed48919f7e441fa8a9c7c42025-08-20T03:30:24ZengMDPI AGAerospace2226-43102025-06-0112654810.3390/aerospace12060548FMEA Risk Assessment Method for Aircraft Power Supply System Based on Probabilistic Language-TOPSISZicheng Xiao0Zhibo Shi1Jie Bai2College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, ChinaCollege of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, ChinaThe Key Laboratory of Civil Aircraft Airworthiness Certification, Civil Aviation University of China, Tianjin 300300, ChinaThe failure mode and effect analysis (FMEA) method, which estimates the risk levels of systems or components solely based on the multiplication of simple risk rating indices, faces several limitations. These include the risk of inaccurate risk level judgment and the potential for misjudgments due to human factors, both of which pose significant threats to the safe operation of aircraft. Therefore, a Probabilistic Language based on a cumulative prospect theory (Probabilistic Language, PL) risk assessment strategy was proposed, combining the technique for order preference with similarity to an ideal solution (TOPSIS). The probabilistic language term value and probability value were fused in the method through the cumulative prospect theory, and a new PL measure function was introduced. The comprehensive weights of evaluation strategies were determined by calculating the relevant weights of various indicators through the subjective expert weight and objective entropy weight synthesis. So, a weighted decision matrix was constructed to determine the ranking order close to the ideal scheme. Finally, the risk level of each failure mode was ranked according to its close degree to the ideal situation. Through case validation, the consistency of risk ranking was improved by 23.95% compared to the traditional FMEA method. The rationality of weight allocation was increased by 18.2%. Robustness was also enhanced to some extent. Compared with the traditional FMEA method, the proposed method has better rationality, application, and effectiveness. It can provide technical support for formulating a new generation of airworthiness documents for the risk level assessment of civil aircraft and its subsystem components.https://www.mdpi.com/2226-4310/12/6/548FMEAPLTSTOPSISrisk assessmentcomprehensive weights |
| spellingShingle | Zicheng Xiao Zhibo Shi Jie Bai FMEA Risk Assessment Method for Aircraft Power Supply System Based on Probabilistic Language-TOPSIS Aerospace FMEA PLTS TOPSIS risk assessment comprehensive weights |
| title | FMEA Risk Assessment Method for Aircraft Power Supply System Based on Probabilistic Language-TOPSIS |
| title_full | FMEA Risk Assessment Method for Aircraft Power Supply System Based on Probabilistic Language-TOPSIS |
| title_fullStr | FMEA Risk Assessment Method for Aircraft Power Supply System Based on Probabilistic Language-TOPSIS |
| title_full_unstemmed | FMEA Risk Assessment Method for Aircraft Power Supply System Based on Probabilistic Language-TOPSIS |
| title_short | FMEA Risk Assessment Method for Aircraft Power Supply System Based on Probabilistic Language-TOPSIS |
| title_sort | fmea risk assessment method for aircraft power supply system based on probabilistic language topsis |
| topic | FMEA PLTS TOPSIS risk assessment comprehensive weights |
| url | https://www.mdpi.com/2226-4310/12/6/548 |
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