Application of Nonlinear Triangular Fuzzy Fault Tree Algorithm in Predicting Lithium Battery Air Transport Accidents

© 2022 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )

Download PDF

Cite

XML

HTML

Abstract

The traditional triangular fuzzy fault tree prediction model adopts the linear approximation method. Therefore, the accident prediction error is large. Based on the analysis of the error sources and the fuzzy set, the precise calculation method of the event at the top of the fault tree is given. By using the numerical calculation software, an accurate calculation method of nonlinear triangular fuzzy accident prediction was adopted to predict lithium battery air transport fire accidents, and the fuzzy importance of the cause event was calculated.

References

Tanaka H, Fan LT, Lai FS, et al., 1983, Fault?Tree Analysis by Fuzzy Probability. IEEE Transactions on Reliability, 32(5): 453–457.

Du J, Chen Y, 2008, Analysis of Causes of Dangerous Goods Air Transport Accidents by Fault Tree Method. Journal of Civil Aviation University of China, 2008(04): 62–64.

Du J, Wang R, 2014, Fire fault tree Analysis of Lithium Battery in Air Transportation Based on Triangular Fuzzy Number. Traffic Information and Safety, 32(03): 119–122 + 127.

FAA, 2022, Lithium Battery Incident Chart, viewed June 1, 2022, https://www.faa.gov/hazmat/ resources/lithium-battery-incident-chart

Wang R, 2014, Risk Analysis and Control Measures of Lithium Battery Fire Accident in Air Transport, thesis, Civil Aviation University of China.

Previous article in this issue

Next article in this issue