Research On Health Management And Maintenance Resource Scheduling Of Complex Equipment

At present,the maintenance of self-propelled artillery is still mainly based on regular maintenance and preventive maintenance.The traditional maintenance scheduling mode will consume a lot of manpower,material resources and financial resources,and the efficiency is low.At the same time,due to the continuous increase in the number of weapons and equipment,the continuous increase in complexity,and the continuous increase in the types of models,maintenance resources often conflict with each other in equipment maintenance management.In view of insufficient maintenance resources or excess maintenance resources,the key monitoring data of equipment is used,with the help of the health status assessment model,according to the health status assessment results and remaining service life prediction results of the self-propelled artillery.Considering the available resources and usage requirements comprehensively,under the premise of guaranteeing the maintenance resources,the maintenance resource scheduling optimization is carried out,and the optimal maintenance resource supply scheduling scheme is established.The research content of the paper mainly includes the following aspects:（1）By analyzing the multi-sensor monitoring data on each component of the self-propelled artillery system,the characteristic parameters of the multi-sensor are calculated,and the combined weight of each characteristic parameter is obtained.The multi-characteristic parameter health index evaluation of equipment is carried out,and the classification of the health index of complex equipment characteristic parameters is realized.Finally,taking a certain type of self-propelled artillery barrel as an example,the multi-feature parameter health index evaluation method is used to evaluate the health,and the health index evaluation level of the equipment is obtained as "sub-health".It is applied to the fault diagnosis software of the vehicle-mounted 155 detection vehicle,and the feasibility and effectiveness of this method for evaluating the health status of a self-propelled artillery are verified.（2）In order to solve the problem that the prediction accuracy of the remaining life of complex equipment is not high,a multi-sensor and hidden semi-Markov model of failure rate prediction method for the remaining life of the complex equipment is proposed.Using the maximum likelihood linear regression transformation method to represent the difference between the multi-sensors,through the method of combining the failure rate and the health state transition matrix,a multi-sensor and failure rate hidden semi-Markov model was established to predict the effective remaining life.Finally,taking the electrical system of a self-propelled gun as an example,the multi-sensor historical monitoring data of the gun barrel of a certain gun is used as an example,the average relative error between the actual remaining life of the gun barrel and the predicted remaining life can be reduced to 6.6852%,improving the prediction accuracy of the remaining life of the gun barrel by about 1.3%.The relative error test method is used to test the accuracy of the prediction model,which improves the accuracy of the prediction results and verifies the validity of the proposed model.（3）Aiming at the conflict of maintenance resources and uneven distribution of maintenance resources in the process of complex equipment maintenance,by calculating the importance and priority of each maintenance point,a transportation time matrix between support points and maintenance points is established.By comparing the importance and priority of maintenance points,a maintenance resource scheduling scheme between maintenance points and support points is proposed.The experimental results show that using the monitoring data of the four self-propelled artillery to be maintained,the accuracy of the calculated priority,the average maintenance time,and the resource utilization rate are respectively 9%,15.7%,and11.7% higher than the importance.Therefore,the priority of maintenance points is selected as the index to establish the optimization scheme of complex equipment maintenance resource scheduling,which reduces the cost of maintenance resources and reduces the average waiting time of self-propelled artillery to be repaired,which verifies the validity of the model proposed in this paper.