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Diagnosis of Rotor Broken Bar Fault in Inverter Driven Induction Motor Drive by Signal Processing Techniques

Khadim Moin Siddiqui*, Kuldeep Sahay**, V. K. Giri***

* Teaching-cum Research Scholar, Department of Electrical Engineering, Institute of Engineering and Technology, Lucknow, India.

** Professor, Department of Electrical Engineering, Institute of Engineering and Technology, Lucknow, India.

** Professor, Department of Electrical Engineering, M.M.M University of Technology, Gorakhpur, India.

Periodicity:May - July'2016
DOI : https://doi.org/10.26634/jic.4.3.7066

Abstract

In the present time, the inverter-driven induction motor drives are being widely employed in the industries for variable speed applications. These drives are replacing DC motors and thyrister bridges day-by-day in the industries. Therefore, health monitoring of these variable speed drives are receiving large attention from the researchers. In this research paper, the rotor broken bar fault has been diagnosed in the steady state as well as transient conditions by advanced signal processing techniques. For fault detection in the steady state condition, the Fast Fourier Transform (FFT) algorithm is used and for transient fault detection, time domain as well as wavelet transform techniques have been used. The time domain and frequency domain techniques show some kind of lacks for diagnosis of this fault. Therefore, a wavelet transform based new technique for early broken rotor bar, fault diagnosis purpose has been proposed and the rotor fault is efficiently diagnosed in the transient condition. These approximation signals based new technique has diagnosed the fault in the transient condition and consequently, fault may be averted before they become more catastrophic. As a result, industries may save large revenues and unexpected failure conditions.

Keywords

Mathematical Modelling, Pulse Width Modulated Inverter, Induction Motor, Rotor Bar Fault Detection and Identification, Time-Domain Analysis, Fast Fourier Transform, Approximation Signal, Detailed Signal, Wavelet Transform.

How to Cite this Article?

Siddiqui, K., Sahay, K., and Giri, V.K. (2016). Diagnosis of Rotor Broken Bar Fault in Inverter Driven Induction Motor Drive by Signal Processing Techniques. i-manager’s Journal on Instrumentation and Control Engineering, 4(3), 34-45. https://doi.org/10.26634/jic.4.3.7066

References

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[2]. Khadim Moin Siddiqui and V.K. Giri, (2012). “Broken Rotor Bar Fault Detection in Induction Motors using Wavelet Transform”. International Conference Proceedings in IEEE Computing, Electronics and Electrical Technologies [ICCEET], pp. 1-6.

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[10]. Khadim Moin Siddiqui, Kuldeep Sahay and V.K. Giri, (2015). “Rotor Broken Bar Fault Detection in Induction Motor Using Transformative Techniques”. Journal of Electrical Engineering, Vol. 15, No. 1, pp. 135-140.

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[12]. Khadim Moin Siddiqui, Kuldeep Sahay and V.K. Giri, (2016). “Early, Diagnosis of Airgap Eccentricity fault in the inverter driven Induction motor drives by Wavelet Transform”. Journal of Electrical Engineering, Vol. 16, No. 2, pp. 1-10.

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