Abstract

The paper considers conditions of mining machinery electric drives operation and analyzes the causes of insufficient reliability. To improve the reliability and efficiency of induction motors the authors propose the computer system designed for dynamic identification of electric motors to monitor their parameters and variables, which are estimated on operating equipment in real time. Operation of the system allows calculating unmeasurable quantities and is based on the mathematical model of the induction motor as well as mathematical methods of estimation and the information contained in the measured phase voltages and currents of the stator. For dynamic mode the mathematical model of the motor’s state and the measurement part were developed and certain results were obtained. Real-time information can be used for both control and management of electric motors, function testing, protection, forecasting as well as acceptance testing of electric motors in mining machinery electric drives to identify their individual data and quality control of the industrial processes in the manufacture or repair of motors.

Highlights

  • The efficiency of coal enterprises is heavily determined by the reliability and efficiency of electric mining machineries such as treatment and tunneling machines, scraper and belt conveyors, drilling rigs, excavators and other machines producing destruction and transportation of coal and rock

  • To improve the reliability and efficiency of induction motors the authors propose the computer system designed for dynamic identification of electric motors to monitor their parameters and variables, which are estimated on operating equipment in real time

  • There is a need to develop a comprehensive approach for dynamic identification methods of electric mining machinery to monitor their parameters and the state in order to use the information obtained in this case for control and management of electric motors, as well as for solving the tasks of function testing, protection, forecasting, and use on stage of acceptance testing of electric motors to identify their individual data and quality control of the industrial process in the manufacture or repair

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Summary

Introduction

The efficiency of coal enterprises is heavily determined by the reliability and efficiency of electric mining machineries such as treatment and tunneling machines, scraper and belt conveyors, drilling rigs, excavators and other machines producing destruction and transportation of coal and rock. High reliability of underground mining machines which mainly use induction motor drives without speed controlling is a difficult task due to the severe operating conditions caused by the specific character of the process with randomly varying loads, frequent starts under load and overload of the actuator [1]. The parameter values are listed in datasheets and since they are average calculated values, they can not be used for control in particular cases as accurate real values

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