Failure Mode and Effect Analysis of Complex Electromechanical Systems Based on Personalized Consensus in Heterogeneous Environment

ABSTRACT Failure mode effect analysis (FMEA) is a powerful reliability analysis tool for identifying and eliminating potential risks in complex electromechanical systems (CESs). However, due to the uncertainty of the decision‐making environment, processing heterogeneous risk information becomes a challenge. In addition, the consensus of the evaluation subjects (ESs) and the interaction of failure modes (FMs) is often easily overlooked. To address these challenges, we propose an improved FMEA method in heterogeneous environment based on personalized consensus. First, a heterogeneous house of reliability (H‐HoR) is proposed to identify multi‐source heterogeneous information. Second, a consensus model based on D‐S evidence theory is proposed to adjust the opinions of different acceptability individually. Meanwhile, an adaptive ES weight determination method based on individual characteristics and maximum consensus is proposed. Then, to avoid information loss, an improved hybrid method of ELimination Et Choix Traduisant la REalité (ELECTRE) with Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) is proposed to rank FMs in heterogeneous environments. Furthermore, based on the extended K‐shell method, the interaction of FMEA in aspects of strength and community relationships is considered to obtain more accurate ranking results. Finally, the effectiveness and practicality can be verified from the case of an offshore wind turbine transmission system. This research has excellent accuracy and superiority and is expected to support integrated research on system reliability.