Importance Measure Analysis Of Lithium Battery Pole Piece Production Line Based On Improved LeaderRank Algorithm

Importance is widely used to identify the weak links in the system to improve the reliability of the system and provide effective support for the design of maintenance strategies.In fact,the current research on importance measure mainly focuses on the importance measure analysis based on a single factor such as reliability or structural level,ignoring the influence of other factors.Therefore,it has become an urgent problem to be solved in enterprise production to analyze the influence of multi-factor on the equipment of the production line manufacturing system.In this paper,the lithium battery pole piece production line is taken as the research object.Considering the influence of equipment hazard,reliability,centrality and fault linkage coefficient on the lithium battery pole piece production line,the importance of the lithium battery pole piece production line equipment is studied.The research work of this paper mainly includes the following contents:Hazard assessment is based on fuzzy risk priority number.Aiming at the problem that the importance measure of the system equipment of the lithium battery pole piece production line is difficult to accurately identify,the hazard factors of the system equipment are first analyzed.The weak parts of the lithium battery pole piece production line were determined by qualitative and quantitative analysis of the lithium battery pole piece production line by using fault location analysis,fault mode analysis,and fault cause analysis.In order to effectively solve the problem of inaccurate hazard value caused by expert misjudgment in the risk priority number method,the fuzzy risk priority number hazard degree（FRPN）evaluation method is introduced to provide an accurate basis for further importance measure analysis of the equipment of the lithium battery pole piece production line system.Mixed Weibull reliability modeling based on a heterogeneous population.In order to accurately identify the key equipment of the lithium battery pole piece production line,the reliability factors of the system equipment are analyzed.The Bayesian and EM method is used to estimate the parameters of the mixed Weibull distribution,and a method of optimizing the number of heterogeneous populations of equipment combined with likelihood ratio and K-S test is proposed.The probability distribution diagram of the production line equipment is obtained by Minitab,and the distribution of the mixed Weibull model of the lithium battery pole piece production line is determined.Based on the method of combining Bayesian and EM,the parameter estimation of the mixed Weibull distribution model is carried out.Taking the mixer x₁ as an example,the method of combining the likelihood ratio and K-S test is used to optimize the number of heterogeneous populations,and the availability of the method is determined.In order to verify the correctness of the model hypothesis and the accuracy of parameter estimation,the normalized root mean square error（NRSME）is used as the evaluation index to verify the correctness of the model hypothesis and the accuracy of parameter estimation.Through comparison,it can be found that the NRSME value of the mixed Weibull model distribution is the smallest,and the NRSME value of the Weibull model distribution is the largest.It shows that the optimization method of the number of heterogeneous populations based on the combination of likelihood ratio and K-S test is effective and accurate.The importance measure evaluation of the lithium battery pole piece production line based on improved Leader Rank algorithm.Aiming at the“networked”topology layout of the equipment in the lithium battery production line manufacturing system,and there are many factors in the production and operation process,it is difficult to evaluate and identify the key equipment.The topological structure between the production line equipment is mapped into a network model,and an importance measure analysis method based on the improved Leader Rank algorithm is proposed.The topological structure between the system equipment is mapped into a network model,and the main characteristics of the system such as equipment hazard,reliability,centrality,and fault chain risk coefficient are investigated to realize the importance measure evaluation of the equipment of the lithium battery production line manufacturing system.By comparing the structural importance measure and B importance measure,the results are consistent on the whole,which verifies the effectiveness and advantages of the proposed method.The proposed method can be effectively applied to the manufacturing system with networked characteristics and can consider the key of the identification system of various influencing factors,make targeted solutions,and provide a reference for further improving the reliability of the system.