Reliability Analysis Of Mining Equipment Based On Data Mining

With the advent of informatization,intelligence and digital manufacturing,the requirements for equipment reliability are getting higher and higher in enterprises.The efficiency and stability of equipment is an effective measure to improve production efficiency,reduce production costs and increase corporate profits.How to combine the key faults,operation data and maintenance of equipment to improve reliability is the key direction of enterprises in the field of equipment research.Effective use of historical equipment failure data,acquisition of key components and maintenance decisions are not only three important aspects of enterprise equipment management,but also an important means to improve equipment life and utilization.It is an effective way of equipment reliability analysis to evaluate the critical failure of equipment by analyzing the failure data in the existing equipment management system,and to master the equipment status by analyzing the failure data.Based on the statistical information of the open-pit mine equipment fault database,this paper extracts valid equipment fault information through data mining methods,establishes a Petri net model based on a fault tree,extracts the key fault types of equipment and analyses the fault durations to initially explore the status of the equipment.Further,the distribution model and parameter obeyed by the failure duration are explored,the equipment failure rate is analyzed,and an opportunity maintenance model based on reliability constraints is established.The aim is to provide the optimal maintenance solution and the lowest maintenance cost for the equipment in a certain period of time in the future.The main content includes:(1)Based on the equipment information of the equipment fault database of open-pit mine,this paper analyzes the equipment structure of the mine production system and obtains the fault information of the shovel,the key equipment of large-scale mining.Fault tree and fault Petri net are used to describe the logical relationship between equipment fault events and the key fault types of equipment are obtained by combining the fault probability.(2)Research on the failure duration of key failure types to grasp the equipment status,including time series analysis,BP-ARIMA model analysis of failure duration,and catastrophe prediction.On this basis,the probability distribution model obeyed by the sample data is explored and the Weibull distribution model is selected by the goodness-of-fit test and the parameter estimation of the distribution model is realized.(3)Combined with the basic theory of reliability analysis and maintenance decision-making,an opportunistic maintenance model is established with the minimization of maintenance cost as the objective function and the reliability of key components as the constraint condition.The optimal solution of the model is solved by the MATLAB program,so that the maintenance cost of the equipment is minimized.In order to verify the feasibility of the model,the maintenance plan of the equipment in a certain period in the future and the maintenance cost at this time are solved in combination with the mine example.