Reliability analysis of the starting and landing system of UAV by FMECA and FTA

Abstract

ABSTRACT Failure mode and effects analysis (FMEA), it is difficult to incorporate interdependencies between various failure modes with uncertain and inaccurate information into the failure analysis. In this paper, the Fuzzy Weighted Geometric Mean (FWGM) algorithm, Benchmark Adjustment Search Algorithm (BASA), Minimum Cut Sets (MCSS) and Boolean operations are used to effectively combine multiple failure modes, and the new Fuzzy risk priority numbers (FRPN) is used to evaluate the system, which solves the possible indicators of the traditional RPN assessment method. To evaluate the inaccuracy problem, and use the copula function to model the reliability of the relevant multiple failure modes, and obtain the failure probability of each MCSS, and use it as the probability weight to propose the Fuzzy Weighted Geometric Mean probability weighted risk priority number (PWGMRPN) algorithm. Finally, the above method is applied to the reliability risk assessment of the unmanned aerial vehicle take-off and landing system.