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A Modified Model of Failure Mode and Effects Analysis Based on Generalized Evidence Theory

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  • Deyun Zhou
  • Yongchuan Tang
  • Wen Jiang

Abstract

Due to the incomplete knowledge, how to handle the uncertain risk factors in failure mode and effects analysis (FMEA) is still an open issue. This paper proposes a new generalized evidential FMEA (GEFMEA) model to handle the uncertain risk factor, which may not be included in the conventional FMEA model. In GEFMEA, not only the conventional risk factors, the occurrence, severity, and detectability of the failure mode, but also the other incomplete risk factors are taken into consideration. In addition, the relative importance among all these risk factors is well addressed in the proposed method. GEFMEA is based on the generalized evidence theory, which is efficient in handling incomplete information in the open world. The efficiency and some merit of the proposed method are verified by the numerical example and a real case study on aircraft turbine rotor blades.

Suggested Citation

  • Deyun Zhou & Yongchuan Tang & Wen Jiang, 2016. "A Modified Model of Failure Mode and Effects Analysis Based on Generalized Evidence Theory," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-11, August.
    • Handle: RePEc:hin:jnlmpe:4512383
    DOI: 10.1155/2016/4512383
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    Cited by:

    1. Zhen Wang & Rongxi Wang & Wei Deng & Yong Zhao, 2022. "An Integrated Approach-Based FMECA for Risk Assessment: Application to Offshore Wind Turbine Pitch System," Energies, MDPI, vol. 15(5), pages 1-25, March.
    2. Jian Wu & Jun Chen & Wei Liu & Yujia Liu & Changyong Liang & Mingshuo Cao, 2022. "A Calibrated Individual Semantic Based Failure Mode and Effect Analysis and Its Application in Industrial Internet Platform," Mathematics, MDPI, vol. 10(14), pages 1-22, July.
    3. Heng Zhang & Yaya Chen & Jingyu Cong & Junxiao Liu & Zhifu Zhang & Xirui Zhang, 2023. "Reliability Study of an Intelligent Profiling Progressive Automatic Glue Cutter Based on the Improved FMECA Method," Agriculture, MDPI, vol. 13(8), pages 1-17, July.

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