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Failure mode and effects analysis on the air system of an aero turbofan engine sing the Gaussian model and evidence theory
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Tang, Yongchuan, Zhou, Yonghao, Zhou, Ying, Huang, Yubo and Zhou, Deyun (2023) Failure mode and effects analysis on the air system of an aero turbofan engine sing the Gaussian model and evidence theory. Entropy, 25 (5). 757. doi:10.3390/e25050757 ISSN 1099-4300.
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Official URL: https://doi.org/10.3390/e25050757
Abstract
Failure mode and effects analysis (FMEA) is a proactive risk management approach. Risk management under uncertainty with the FMEA method has attracted a lot of attention. The Dempster–Shafer (D-S) evidence theory is a popular approximate reasoning theory for addressing uncertain information and it can be adopted in FMEA for uncertain information processing because of its flexibility and superiority in coping with uncertain and subjective assessments. The assessments coming from FMEA experts may include highly conflicting evidence for information fusion in the framework of D-S evidence theory. Therefore, in this paper, we propose an improved FMEA method based on the Gaussian model and D-S evidence theory to handle the subjective assessments of FMEA experts and apply it to deal with FMEA in the air system of an aero turbofan engine. First, we define three kinds of generalized scaling by Gaussian distribution characteristics to deal with potential highly conflicting evidence in the assessments. Then, we fuse expert assessments with the Dempster combination rule. Finally, we obtain the risk priority number to rank the risk level of the FMEA items. The experimental results show that the method is effective and reasonable in dealing with risk analysis in the air system of an aero turbofan engine.
Item Type: | Journal Article | |||||||||
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Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management T Technology > TL Motor vehicles. Aeronautics. Astronautics |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | |||||||||
SWORD Depositor: | Library Publications Router | |||||||||
Library of Congress Subject Headings (LCSH): | Failure mode and effects analysis, Risk management, Airplanes -- Turbofan engines, Airplanes -- Motors, Aerodynamics | |||||||||
Journal or Publication Title: | Entropy | |||||||||
Publisher: | M D P I AG | |||||||||
ISSN: | 1099-4300 | |||||||||
Official Date: | 6 May 2023 | |||||||||
Dates: |
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Volume: | 25 | |||||||||
Number: | 5 | |||||||||
Article Number: | 757 | |||||||||
DOI: | 10.3390/e25050757 | |||||||||
Status: | Peer Reviewed | |||||||||
Publication Status: | Published | |||||||||
Reuse Statement (publisher, data, author rights): | ||||||||||
Access rights to Published version: | Open Access (Creative Commons) | |||||||||
Date of first compliant deposit: | 20 June 2023 | |||||||||
Date of first compliant Open Access: | 20 June 2023 | |||||||||
RIOXX Funder/Project Grant: |
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