Reliability Analysis Of Mine Braking System Based On Bayesian Network

The mine hoist as the central transportation equipment to connecting the well and the underground mining work.Its safe and reliable operation is an important guarantee for the safe production.Once the mine hoist fails,it will not only make the mine staff unable to carry out normal mining,but will make the mine staff face serious danger of life,it will bring serious property and personnel losses to society and the country.The mine hoist is also a very important heavy transportation equipment in the production of mines.Its function is to complete the improvement of underground mineral,the lifting of uphole personnel,the decentralization and lifting of construction materials.The mine lifting brake system is an important guarantee for emergency braking when the mine hoist has an unexpected failure.Its normal braking and operation can effectively reduce the occurrence of mine accidents,Therefore,the reliability research of the mine hoist brake system has very important practical significance.Based on Bayesian network's advantages in dealing with fuzzy uncertainty and system polymorphism,this paper focuses on the analysis of mine lifting braking system.Through field investigation and literature search,the fault tree model of mine lifting braking system is constructed and then applied.The Bayesian network model is obtained by transforming the fault tree into the Bayesian network,and the fuzzy mathematics theory is applied to the Bayesian network to solve the case where some components have small sample events or there is little;For the case that some of the components are less or missing due to historical data,the fuzzy expert comprehensive evaluation method is used to obtain the fuzzy evaluation value.Firstly,for the determination of the expert weight coefficient,the combination of subjective weight and objective weight is adopted,then get the total weight value of each expert.Secondly,the components are scored by experts' comprehensive evaluation,and then the fuzzy values of the experts are combined to obtain the total fuzzy evaluation value of the components.finally obtains the fuzzy fault exact value of the component bydefuzzifying.Finally,combined Netica software with Bayesian network to analyze the reliability of the mine lifting brake system?The posterior probability and each node importance.By analyzing the importance of each node,the relatively weak link of the system is found,which provides guidance for the subsequent improvement and improvement of system reliability.Finally,applies the method of fuzzy importance with weight coefficient(Weighted fuzzy importance)to solve the reliability analysis example of mine lifting brake system.