Failure Mode and Effect Analysis (FMEA) of Vertical Axis Wind Turbines

Alhijazi, Mohamad; Zeeshan, Qasim; Ghasemian, Hamed

doi:10.1007/978-3-030-42416-9_6

Cited by 1 publication

(1 citation statement)

References 28 publications

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“…Among these frameworks, Dempster-Shafer evidence theory has undergone rapid development due to its effectiveness in addressing uncertain information [16,17]. It has been widely used in many applications, such as decision making [18][19][20], classification [21], fault diagnosis [22][23][24][25], risk evaluation [26][27][28], and so on [29,30]. However, how to handle uncertainty under the framework of DST is still an open issue [31,32].…”

Section: Introductionmentioning

confidence: 99%

Uncertainty Management in Assessment of FMEA Expert Based on Negation Information and Belief Entropy

Tang

Zhang

et al. 2023

Entropy

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The failure mode and effects analysis (FMEA) is a commonly adopted approach in engineering failure analysis, wherein the risk priority number (RPN) is utilized to rank failure modes. However, assessments made by FMEA experts are full of uncertainty. To deal with this issue, we propose a new uncertainty management approach for the assessments given by experts based on negation information and belief entropy in the Dempster–Shafer evidence theory framework. First, the assessments of FMEA experts are modeled as basic probability assignments (BPA) in evidence theory. Next, the negation of BPA is calculated to extract more valuable information from a new perspective of uncertain information. Then, by utilizing the belief entropy, the degree of uncertainty of the negation information is measured to represent the uncertainty of different risk factors in the RPN. Finally, the new RPN value of each failure mode is calculated for the ranking of each FMEA item in risk analysis. The rationality and effectiveness of the proposed method is verified through its application in a risk analysis conducted for an aircraft turbine rotor blade.

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