Improvement of the Hilbert Method via ESPRIT for Detecting Rotor Fault in Induction Motors at Low Slip

Author

Boqiang Xu ; Liling Sun ; Lie Xu ; Guoyi Xu

Author_Institution

State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Baoding, China

Volume

28

Issue

1

fYear

2013

fDate

Mar-13

Firstpage

225

Lastpage

233

Abstract

The traditional Hilbert method to detect broken rotor bar fault in induction motors is reviewed and its major drawbacks are clearly revealed, namely, deteriorating or even completely failing when a motor operating at low slip due to the fixed constraints of fast Fourier transform (FFT) is used in this method. To overcome this, the estimation of signal parameters via rotational invariance technique (ESPRIT) is then introduced to replace FFT, and an improved Hilbert method is thus presented by conjugating the Hilbert transform and ESPRIT together. Experimental results of a small motor in a laboratory and a large motor operating on an industrial site are reported to demonstrate the effectiveness of the improved Hilbert method.

Keywords

Hilbert transforms; fast Fourier transforms; fault diagnosis; induction motors; rotors; ESPRIT; FFT; Hilbert transform method; broken rotor bar fault detection; estimation of signal parameters via rotational invariance technique; fast Fourier transform; induction motors; Current measurement; Eigenvalues and eigenfunctions; Frequency measurement; Induction motors; Multiple signal classification; Stators; Time measurement; Broken rotor bar; Hilbert transform (HT); detection; estimation of signal parameters via rotational invariance technique (ESPRIT); induction motor;

fLanguage

English

Journal_Title

Energy Conversion, IEEE Transactions on

Publisher

ieee

ISSN

0885-8969

Type

jour

DOI

10.1109/TEC.2012.2236557

Filename

6407981