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Chinese Journal of Mechanical Engineering
Erschienen in: Chinese Journal of Mechanical Engineering 6/2017

01.11.2017 | Original Article

Online Detection of Broken Rotor Bar Fault in Induction Motors by Combining Estimation of Signal Parameters via Min-norm Algorithm and Least Square Method

verfasst von: Pan-Pan Wang, Qiang Yu, Yong-Jun Hu, Chang-Xin Miao

Erschienen in: Chinese Journal of Mechanical Engineering | Ausgabe 6/2017

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Abstract

Current research in broken rotor bar (BRB) fault detection in induction motors is primarily focused on a high-frequency resolution analysis of the stator current. Compared with a discrete Fourier transformation, the parametric spectrum estimation technique has a higher frequency accuracy and resolution. However, the existing detection methods based on parametric spectrum estimation cannot realize online detection, owing to the large computational cost. To improve the efficiency of BRB fault detection, a new detection method based on the min-norm algorithm and least square estimation is proposed in this paper. First, the stator current is filtered using a band-pass filter and divided into short overlapped data windows. The min-norm algorithm is then applied to determine the frequencies of the fundamental and fault characteristic components with each overlapped data window. Next, based on the frequency values obtained, a model of the fault current signal is constructed. Subsequently, a linear least squares problem solved through singular value decomposition is designed to estimate the amplitudes and phases of the related components. Finally, the proposed method is applied to a simulated current and an actual motor, the results of which indicate that, not only parametric spectrum estimation technique.
Vorheriger Artikel Special Issue on Machine Fault Diagnostics and Prognostics
Nächster Artikel An Intelligent Harmonic Synthesis Technique for Air-Gap Eccentricity Fault Diagnosis in Induction Motors
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Metadaten
Titel
Online Detection of Broken Rotor Bar Fault in Induction Motors by Combining Estimation of Signal Parameters via Min-norm Algorithm and Least Square Method
verfasst von
Pan-Pan Wang
Qiang Yu
Yong-Jun Hu
Chang-Xin Miao
Publikationsdatum
01.11.2017
Verlag
Chinese Mechanical Engineering Society
Erschienen in
Chinese Journal of Mechanical Engineering / Ausgabe 6/2017
Print ISSN: 1000-9345
Elektronische ISSN: 2192-8258
DOI
https://doi.org/10.1007/s10033-017-0185-2

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