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Fuzzy Reliability Prediction Method Based on FMECA for Diesel Engine

[+] Author Affiliations
Han-Liang Zhang, Hong-Zhong Huang, Yu Liu

University of Electronic Science and Technology of China, Chengdu, Sichuan, China

Paper No. DETC2009-87003, pp. 751-757; 7 pages
doi:10.1115/DETC2009-87003
From:
  • ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 3: ASME/IEEE 2009 International Conference on Mechatronic and Embedded Systems and Applications; 20th Reliability, Stress Analysis, and Failure Prevention Conference
  • San Diego, California, USA, August 30–September 2, 2009
  • Conference Sponsors: Design Engineering Division and Computers in Engineering Division
  • ISBN: 978-0-7918-4900-2 | eISBN: 978-0-7918-3856-3
  • Copyright © 2009 by ASME

abstract

Diesel engine is a multi-disciplinary complex system with the harsh working environment and high reliability requirements. Its design for satisfying the basic reliability requirement is a high-demanding work. Correspondingly the reliability prediction is served as an important tool for reliability design. However, in the traditional reliability method, the analytical outcome obtained from the conventional FMECA was not always sufficient. This increases the workload of designers in charge of reliability, and reduces the working efficiency. Therefore, this paper conducts an in-depth research with the emphasis on the diesel engine’s reliability prediction, in which the failure mode and the information of criticality provided by FMECA will be made full use of to carry out the reliability prediction. Meanwhile, to make the prediction results more objective and reasonable, this paper introduces the weight of experts, and provides a prediction model, in which the fuzzy analytic hierarchy process and the fuzzy comprehensive evaluation are combined to analyze the criticality of FMECA.

Copyright © 2009 by ASME

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