Abstract
The risk assessment of the failure mode of the traditional machining center component rarely considers the topological characteristics of the system and the influence of propagation risks, which makes the failure risk assessment results biased. Therefore, this paper proposes a comprehensive failure risk assessment method of a machining center component based on topology analysis. On the basis of failure mode and cause analysis, considering the correlation of failure modes, Analytic Network Process (ANP) is used to calculate the influence degree of failure modes, and it is combined with component failure mode frequency ratio and failure rate function to calculate independent failure risk. The ANP model of the machining center is transformed into a topological model, and the centrality measurement of network theory is used to analyze the topology of the machining center. The weight of the topological structure index is measured by subjective and objective weighting methods, and then the importance degree of the machining center component is calculated. In this paper, the coupling degree function is introduced to calculate the importance of the connection edge, which is combined with the failure probability to calculate the failure propagation influence degree, and the component propagation failure risk is calculated based on this. Finally, the independent failure risk and the propagation failure risk of the component are integrated to realize the failure risk assessment of the component. Taking a certain type of machining center as an example to illustrate the application, compared with the traditional assessment method, the effectiveness and advancement of the method proposed in this paper have been verified.
Highlights
Published: 2 January 2022A machining center is an important carrier of intelligent manufacturing
This paper proposes a comprehensive failure risk assessment method risk assessment method for a machining center component based on topology analys for a machining center component based on topology analysis
At 2000 h, the component with the largest risk of failure is the tool magazine (M), followed by the feed system (J), and the According to Figure 13, it can be found that the ranking results of the risk value of the machining center components are different at different times, and the comprehensive risk value ranking results of the components at 2000 h is M > J > S > W > K > V > L >
Summary
A machining center is an important carrier of intelligent manufacturing. ensuring its safe and reliable operation is essential. This method takes advantage of the fault tree’s advantage in cause analysis, analyzes the severity of various events, and establishes a multi-state model of variables It uses the conditional probability distribution table to establish the conditional probability relationship of different variables, converts the fault tree into a Bayesian network, and realizes quantitative risk assessment. The failure mode effects and criticality analysis is combined with the fault tree analysis for risk analysis [20] This method establishes the risk priority index through FMECA to judge the failure risk level, combines the field operation failure statistical data, conducts the fault tree analysis to obtain the occurrence probability and the basic event critical importance, and carries out the risk assessment . This paper proposes a comprehensive failure risk assessment method risk assessment method for a machining center component based on topology analys for a machining center component based on topology analysis
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