Design and Implementation of Fault Diagnosis Expert System of Full Face Tunnel Boring Machine for Coal Mine
LI Changda
GAO Ben
YUE Yajun
ZHANG Tao
Abstract：With the development of coal mining to the depth,the core position of full face TBM in underground operation of coal mine is becoming increasingly prominent.The important values of full face TBMs and their common fault types were deeply analyzed,the mechanism of fault occurrence was explored by collecting and sorting out a large number of actual operation data,and uses knowledge engineering methods to build a fault diagnosis knowledge base.The knowledge base integrates the knowledge of mechanical,electrical,hydraulic and other fields,combines the expert experience with the theoretical model,and expresses the knowledge in the form of rules and cases.At the same time,the adaptive reasoning mechanism was adopted to realize the rapid and accurate diagnosis of the TBM fault.The system design fully considers the complex and harsh working environment in the coal mine,so it was equipped with excellent human-machine interface.Through practical testing and verification,the expert system can significantly improve the efficiency and accuracy of the fault diagnosis of the full face TBM.
Keywords：tunnel boring machinefault diagnosiscase-based reasoningrule reasoningsemantic web
Publication Date：2025-06-30
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 10-14 )