Improving the risk Assessment of FMEA in Foamed Asphalt preparation Plant based on Intuitionistic Fuzzy

Abstract

Taking foamed bitumen preparation equipment as the research object, aiming at the shortcomings and shortcomings of traditional failure mode and effect analysis (FMEA) method, this paper proposes a method to improve FMEA based on intuitionistic fuzzy. This method converts N expert language variables into corresponding intuitionistic fuzzy numbers to represent the failure mode and risk factor weight evaluation information. Combined with intuitionistic fuzzy weighted geometric operators and improved Hamming distance, the traditional FMEA method is improved to determine the bubble Risk order of failure mode of asphalt preparation plant. The results show that: asphalt pipe blockage, asphalt tank cracking and tapered rod end fracture are the three highest failure modes for foamed asphalt preparation equipment.