Fault Tree and Bayesian Network Based Scraper Conveyer Fault Diagnosis

Abstract

With the introduction of large-scale mechanized coal mining equipment, the mechanical and electrical equipment of the fully mechanized face is becoming more and more complex. The fault tree of coal mining compressors is obtained by means of artificial deduction. Fault tree is transformed to Bayesian network by the mapping relationship between fault tree and Bayesian network. The reliability of scraper conveyor was obtained by Bayesian networks and fault trees and the occurrence rate of the fault. The Bayesian network is transformed into a connecting tree. The calculation method of the belief is obtained according to the connecting tree. According to the calculation method of the belief and the reliability that have been calculated, the probability of failure can be obtained under all kinds of conditions and then can help the maintenance staff to figure out the reason of the fault quickly.