Research on a State Prediction Method of Coal Mining Machine
Aiming at the difficulty of processing the measurement data of coal mining machine and the inability to accurately characterise its operation status,a prediction method for coal mining machine is designed.It analyses the common operating faults and state data acquisition methods of coal mining machine,establishes an operating state data processing model,and realizes real-time prediction of the operating state of coal mining machine.Taking an actual project of a coal mine as an example,it takes the three kinds of monitoring data of the motor current of the haulage section,the temperature of the motor of the haulage section,and the motor speed of the haulage section,each of which has 2,000 pieces,as the experimental data for the state prediction,and the results show that the fitting degree of the real value of this model and the prediction result is more than 93％.reaches more than 93％,and the state warning accuracy of each data reaches more than 90％,which is high and meets the actual engineering requirements.
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