An integrated fuzzy-genetic failure mode and effect analysis for aircraft wing reliability

The purpose of this paper is to propose a model for assessing the hazard system based on the failure structure of aircraft wing. The model considers reliability maintenance and repair factors. Failure Mode and Effect Analysis (FMEA) is one of the well-known methods of quality management being used for continuous improvement in product or process plans. One serious issue of FMEA is the definition of the risk priorities of failure modes. This paper proposes an analytical method based on failure modes and failure analysis in criticality and suggests a fuzzy evaluation method for evaluating the risk level of the wing of aircraft. The analytical technique includes qualitatively analyzing the operation, failure modes, failure cause, failure rate, and severity through FMEA and quantitatively assessing the safety by using the fuzzy evaluation method. Fuzzy logic and Genetic Algorithms are integrated using a risk-cost model based on FMEA and comparisons with Simulated Annealing algorithms.