Maintenance Strategy Of Multi-Component Systems Based On The Survival Signature

Maintenance modeling of multi-component systems has always been one of the important research topics in the field of reliability engineering.It is usually based on the theory of reliability.In recent years,survival signature theory has gradually become a very powerful tool in reliability analysis,which can separate the system structure from the probability model used to describe the random failure of system components.However,survival signature is currently rarely used in system maintenance.Therefore,this paper aims to apply it to design the maintenance strategy.In addition to applying the survival signature to the reliability evaluation of the system,it's also explored in the structure description of the system,the importance estimating and the criticality level judgment of the components,which are as follows:A dynamic reliability maintenance method for multi-component complex systems based on survival signature theory is proposed.For the systems where degradation information is not available but component status can be continuously monitored,the component lifetime data is randomly generated by the Weibull model with unknown shape and scale parameters.Then the Bayesian update rule is used to derive the posterior prediction distribution of the component lifetime.Furthermore,based on the survival signature theory,the dynamic reliability estimation formula of the system is introduced,which solves the problem that the reliability of traditional multi-component complex systems is difficult to estimate.In addition,a new dynamic estimation method of component importance is proposed,and the feasibility and effectiveness of the proposed method are verified by extending a visual maintenance strategy.The experimental results show that the dynamic reliability evaluation method designed in this paper is accurate and efficient.An incomplete grouping maintenance strategy is proposed for multi-component systems where component types are not unique,the new strategy combines preventive maintenance and corrective maintenance modes.For preventive maintenance actions,a new structure importance based on survival signature and its estimation method are provided.Based on the new importance,an adjustment function is designed to adjust the preventive maintenance thresholds of different components.The quantification of preventive maintenance effect is described by hybrid hazard rate model.For corrective maintenance actions,the system structure update method based on survival signature and the component key evaluation index are designed to judge the criticality level of components in real time,and a maintenance discrimination factor based on cost and reliability improvement is established to select the maintenance method of failure components.Finally,the maintenance strategy proposed in this paper is verified by simulation experiments.Experimental results show that this strategy is small in calculation and can significantly reduce the maintenance cost of the system.