DETECTION OF ROTOR FAULTS IN INDUCTION MOTOR IN NON-STATIONARY CONDITIONS USING THE MATRIX PENCIL METHOD

Authors

  • Victoria A. Eremeeva Author

Abstract

Increasing the economic efficiency of production by reducing unplanned downtime and optimizing the maintenance of industrial equipment requires the development of diagnostic methods for such key equipment components as induction motors. In turn, the operating mode of the electric motor has a significant impact on the accuracy and reliability of diagnostics. In particular, the widely used method of motor current signature analysis (MCSA) has a number of limitations when the motor is operating at variable speed or load. Therefore, it is necessary to investigate frequency analysis methods that can extract motor defect signs from non-stationary current signals. Aim of the study: to apply matrix pencil method to motor current signals to extract signs of defect in the rotor bar of an induction motor under non-stationary mode of operation. Materials and methods. In this paper, the matrix pencil method is used, which has high spectral resolution and computational efficiency compared to Fourier transform based spectral analysis methods. Results. Numerical experiment shows that the matrix pencil method can extract frequencies and amplitudes of harmonics of the motor rotor defect with an accuracy of 2 % at low sampling rate (200 Hz) and small signal window length (0.25 s). Conclusion. The matrix pencil method allows to track the change in the frequency of the defect of the electric motor rotor and the increase in amplitude associated with an increase in the resistance of the rotor bar. Thus, the matrix pencil method can be applied in practice for diagnostics of induction motors.

Author Biography

  • Victoria A. Eremeeva
    Postgraduate student of the Department of Information and Measuring Technology, South Ural State University, Chelyabinsk, Russia

Published

2025-02-15

Issue

Section

Control in Technical Systems