Electromechanical Fault Diagnosis and Maintenance of Coal Mine Underground Tunneling Machines
This paper introduced the importance of coal mining production and the impact of electromechanical faults on it,explored traditional and modern fault diagnosis techniques,with a particular focus on methods based on sensor data and machine learning.The case analysis elaborated on common fault cases such as motor overheating and transmission chain breakage.On this basis,with the help of machine learning technology,diagnostic methods for these faults were proposed,including feature engineering,model construction,and training.Finally,preventive maintenance and intelligent maintenance strategies were discussed,and the future development of fault diagnosis and maintenance technologies was discussed.The aim was to improve the safety and efficiency of mine production,and provided strong support for ensuring the reliable operation of underground electromechanical equipment in coal mines.
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