Open AccessImproving the risk Assessment of FMEA in Foamed Asphalt preparation Plant based on Intuitionistic Fuzzy
Author(s) -
Zhun Luo,
Hai-Ying Cheng
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1043/5/052009
Subject(s) - failure mode and effects analysis , asphalt , fuzzy logic , cracking , fracture (geology) , mode (computer interface) , reliability engineering , hamming distance , computer science , structural engineering , engineering , materials science , algorithm , composite material , artificial intelligence , operating system
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.