FMECA of Unmanned Aerial Vehicle Power System Based on the Intuitionistic Fuzzy Set

FMECA is a significant study direction of UAV system, which is used to find out the possible failure modes and take certain measures to manage the reliability of the high-risk failure modes. Due to uncertainty characteristic in the process of FMECA, the determination of failure mode is still an issue with existing methods. To deal with the problem, a FMECA methodology based on the intuitionistic fuzzy set (IFS) with the technique for order performance by similarity to ideal solutionis (TOPSIS) is proposed in this paper. Firstly, the intuitionistic evaluation matrix is set up by expert assessment. After the weight of attributes are gained based on the support degree. Then, the positive ideal solution (PIS) and the negative ideal solution (NIS) are determined by score function with attributes weight. On this basis, all failure modes are sorted according to TOPSIS method to make assessment. Finally, a practical example of UAV power system is provided to verify the reasonableness of the methodology.