An Extension to Fuzzy Developed Failure Mode and Effects Analysis (FDFMEA) Application for Aircraft Landing System
This is an obvious fact that a significant number of accidents happening each year are due to the failure of aircraft systems’ components. To manage this risk, Failure Mode and Effects Analysis (FMEA), a well-known method, is employed for reliability analysis in the mentioned fields. Three elements; Severity (S), Detection (D) and Occurrence (O) are considered in typical FMEA to calculate the Risk Priority Number (RPN) for concentrating on the risks and taking corrective actions. The significant numbers of shortcoming which have mentioned in literature can be faced to crisp RPN computation. Therefore, the purpose of this study was to extend FMEA by considering a group decision-making under the fuzzy environment. In fact, the present study was designed to contribute both theoretically and practically contributes to aircraft landing system as one of the important potential failure mode in aerospace industry. In an engineer standpoint the comparison of results between the conventional FMEA and Fuzzy Developed FMEA (FDFMEA) suggests that the risky failure modes accompanied with FDFMEA yield a more reliable result.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/09257535
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Supplemental Notes:
- Abstract reprinted with permission of Elsevier.
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Authors:
- Yazdi, Mohammad
- Daneshvar, Sahand
- Setareh, Hashem
- Publication Date: 2017-10
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 113-123
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Serial:
- Safety Science
- Volume: 98
- Publisher: Elsevier
- ISSN: 0925-7535
- Serial URL: http://www.sciencedirect.com/science/journal/09257535
Subject/Index Terms
- TRT Terms: Aircraft; Fuzzy algorithms; Landing gear; Mathematical models; Mechanical failure; Reliability; Risk assessment
- Subject Areas: Aviation; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01643195
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 9 2017 9:35AM