Research On Risk Assessment Of Key Components Of Complex Equipment Based On FUZZY-FMEA Method

Key components of complex equipment is characterized by long development cycle,complex structure and high risks.Effective prevention and response to potential risks of key components of complex equipment are urgent problems to be solved.Failure mode and effect analysis(FMEA)is a reliability risk analysis method used to identify,prevent and improve potential failure modes,which is widely used in aerospace,automotive,machinery and other fields.At present,the FMEA method has been widely used for their capability of high efficiency.Failure identification and prevention against the key components of complex equipment is conducive to ensuring the normal operation of equipment,reducing maintenance costs and improving equipment reliability.However,the existing FMEA methods use equal weight and exact value to obtain the risk priority number(RPN)under the uncertain environment,which makes it difficult to accurately evaluate the risk priority of failure modes.To address the shortcomings of the existing FMEA methods,this article focuses on the goal of "FMEA evaluation model under uncertainty and its application in risk assessment",and studies the problem of constructing and applying the FMEA evaluation model to evaluate the risk prioritization of failure modes of key components of complex equipment under uncertainty.Several major research tasks are summarized as follows:Firstly,a comprehensive variable weight model based on FUZZY-VWT for key components of complex equipment risk factors is constructed.A fuzzy comprehensive weighting method based on FOWA operator and entropy method is applied to determine the subjective and objective weights of each risk factor.The subjectivity of expert evaluation and the objectivity of the evaluation object are fully considered,so that the evaluation results are closer to the actual situation;The constant weight of risk factors is modified to variable weight based on FUZZY-VWT,which meets the balance of risk factor evaluation values and improves the accuracy of failure modes risk assessment.Secondly,a risk ranking model based on FUZZY-GRA for key components of complex equipment failure modes is constructed.A risk identification method based on the FUZZY-ISM is applied to determine the key failure modes.The evaluation information is represented by trapezoidal fuzzy number,and the quantitative analysis is carried out by combining the interpretive structure model and Impact Multiplications Applied to Classification to build the key failure mode recognition method;The relative correlation calculation model based on FUZZY-GRA method is introduced into the FMEA risk assessment framework to determine the risk priority of key failure modes,and a cycle detection model is proposed to obtain the minimum maintenance cost per unit time of high-risk key failure modes.Finally,the risk assessment of failure modes in spindle of CNC machine tools based on FUZZY-FMEA model.Taking the spindle of CNC machine tools as the application background,the research is carried out in the risk assessment of complex equipment products to verify the effectiveness of the proposed model.The proposed model in this paper not only further expands the theoretical and methodological research of risk analysis,but also provides a new tool for assessing the risk of key components of complex equipment.