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Rotor Fault Detection in Induction Motors Based on Time-Frequency Analysis Using the Bispectrum and the Autocovariance of Stray Flux Signals
Open AccessArticle

Induction Motor Broken Rotor Bar Detection Based on Rotor Flux Angle Monitoring

Department of Mechatronics, Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, 1000 Ljubljana, Slovenia
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Energies 2019, 12(5), 794; https://doi.org/10.3390/en12050794
Received: 24 January 2019 / Revised: 20 February 2019 / Accepted: 25 February 2019 / Published: 27 February 2019
(This article belongs to the Special Issue Fault Diagnosis in Electric Motors)
This paper presents a method for the detection of broken rotor bars in an induction motor. After introducing a simplified dynamic model of an induction motor with broken cage bars in a rotor field reference frame which allows for observation of its internal states, a fault detection algorithm is proposed. Two different motor estimation models are used, and the difference between their rotor flux angles is extracted. A particular frequency component in this signal appears only in the case of broken rotor bars. Consequently, the proposed algorithm is robust enough to load oscillations and/or machine temperature change, and also indicates the fault severity. The method has been verified at different operating points by simulations as well as experimentally. The fault detection is reliable even in cases where traditional methods give ambiguous verdicts. View Full-Text
Keywords: fault diagnosis; induction motors; modeling; squirrel cage motors; AC motor drives fault diagnosis; induction motors; modeling; squirrel cage motors; AC motor drives
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Nemec, M.; Ambrožič, V.; Fišer, R.; Nedeljković, D.; Drobnič, K. Induction Motor Broken Rotor Bar Detection Based on Rotor Flux Angle Monitoring. Energies 2019, 12, 794.

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