FWZIC Method Based on q-Rung Orthopair Fuzzy Set for Life Cycle Quality Assessment of Power Equipment

With the construction of new power systems and the increasing complexity of power equipment, existing evaluation methods are difficult to fully reflect their lifecycle quality. The aim of this study is to propose a novel method for assessing the quality of power equipment throughout its lifecycle, which combines q-Rung Orthopair Fuzzy Set (q-ROFS) with the Weighted Zero Inconsistency Fuzzy Method (FWZIC). This article establishes a comprehensive evaluation system covering five key stages: bidding and procurement, contract performance, production and manufacturing, installation and commissioning, and operation and maintenance. By introducing q-ROFS, the limitations of traditional evaluation methods in handling fuzzy and uncertain information have been addressed, while utilizing the FWZIC method can ensure consistency and rational weight allocation during the evaluation process.To verify the effectiveness of this method, this paper evaluates and analyzes a 220kV three-phase oil-immersed transformer as a case study. The research results indicate that this method can effectively improve the accuracy of equipment quality assessment. Sensitivity analysis further indicates that this method is robust in dealing with weight changes. This study provides new ideas and technical support for improving equipment quality monitoring and management.