Title: DSP implementation of a novel envelope analysis approach for the diagnosis of broken rotor bar in induction motor

Authors: Syed Kamruddin Ahamed; Arghya Sarkar; Madhuchhanda Mitra; Samarjit Sengupta

Addresses: Government College of Engineering and Textile Technology, 12, William Carey Road, Serampore, West Bengal, Pin code-712201, India ' MCKV Institute of Engineering, West Bengal University of Technology, 243, G.T. Road (N), Liluah, Howrah, West Bengal, India ' Department of Applied Physics, University of Calcutta, 92, A.P.C Road , Kolkata-70009, West Bengal, Pin Code-700009, India ' Department of Applied Physics, University of Calcutta, 92, A.P.C Road , Kolkata-70009, West Bengal, Pin Code-700009, India

Abstract: Design and implementation of a novel technique for the detection of broken rotor bar of the induction motor is presented. At first, the discrete wavelet transform (DWT) is performed on the windowed steady state stator currents and then discrete Hilbert transform is utilised to obtain envelopes of the detailed coefficients at higher wavelet level. It has been observed that the faulty motor produces higher statistical parameters - mean, rms, standard deviation and median of the envelopes - than those for the healthy one. The method is implemented in real time by means of low cost TMS320VC5416 fixed point digital signal processor (DSP). A framework of assembly language program for the calculation of the DWT is given and the problems which should be paid attention during real time implementation are discussed. Illustrative laboratory test results confirm the validity and accurate performance of the proposed method.

Keywords: broken rotor bar; digital signal processing; DSP; envelope analysis; discrete wavelet transform; DWT; discrete Hilbert transform; induction motors; statistical parameters; fault diagnosis; fault detection.

DOI: 10.1504/IJMIC.2014.065345

International Journal of Modelling, Identification and Control, 2014 Vol.22 No.3, pp.275 - 284

Published online: 30 Oct 2014 *

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