Reliability and risk assessment model of intelligent manufacturing system based on improved FMEA

doi:10.16731/j.cnki.1671-3133.2024.05.019

Abstract

Abstract: A new Failure Mode and Effects Analysis (FMEA) model is proposed for risk assessment of the intelligent manufacturing system. Firstly, based on the literature method, expert interviews and fishbone diagram analysis method, the potential failure modes of intelligent manufacturing system are identified from Human-Machine-Material-Method-Environment (4M1E). Secondly, the triangular fuzzy number is used to obtain the risk assessment results of each failure mode and the weights of risk factors are determined by the structural entropy weight method. Finally, the Fuzzy C-Means (FCM) algorithm is used to divide the risk levels of the identified failure modes. Besides, the effectiveness and reliability of the results are verified through comparative analysis and Monte Carlo simulation experiment.

Key words: intelligent manufacturing system, Failure Mode and Effect Analysis (FMEA), reliability risk assessment, Fuzzy C-Means (FCM) algorithm

CLC Number:

ZHOU Qian, HUANG Jia, SONG Mingshun, ZHANG Yueyi. Reliability and risk assessment model of intelligent manufacturing system based on improved FMEA[J]. Modern Manufacturing Engineering, 2024, 524(5): 145-152.

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