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Online Diagnosis of Induction Motors Using MCSA
Abstract
In this paper, an online induction motor diagnosis system using motor current signature analysis (MCSA) with advanced signal-and-data-processing algorithms is proposed. MCSA is a method for motor diagnosis with stator-current signals. The proposed system diagnoses induction motors having four types of faults such as breakage of rotor bars and end rings, short-circuit of stator windings, bearing cracks, and air-gap eccentricity. Although MCSA is one of the most powerful online methods for diagnosing motor faults, it has some shortcomings, which degrade performance and accuracy of a motor-diagnosis system. Therefore, advanced signal-and-data-processing algorithms are proposed. They are composed of an optimal-slip-estimation algorithm, a proper-sample-selection algorithm, and a frequency auto search algorithm for achieving MCSA efficiently. The proposed system is able to ascertain four kinds of motor faults and diagnose the fault status of an induction motor. Experimental results obtained on 3.7-kW and 30-kW three-phase squirrel-cage induction motors and voltage-source inverters with a vector-control technique are discussed
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Cited by
Advances in Diagnostic Techniques for Induction Machines
Bellini, A., Filippetti, F., Tassoni, C., & Capolino, G.-A. (2008) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2008.2007527 · Cited by 1,140
Grubic, S., Aller, J. M., Lu, B., & Habetler, T. G. (2008) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2008.2004665 · Cited by 490
Giantomassi, A., Ferracuti, F., Iarlori, S., Ippoliti, G., & Longhi, S. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2014.2370936 · Cited by 168
Metadata
- Authors
- Jung, J.-H., Lee, J.-J., & Kwon, B.-H.
- Venue
- IEEE Transactions on Industrial Electronics
- Published
- 2006-12
- Volume
- 53
- Issue
- 6
- Pages
- 1842-1852
- ISSN
- 0278-0046 (ISSN-L)
- OpenAlex
- W2143615450
- Cited by
- 570
- References
- 0
- FWCI
- 55.64
- Type
- journal article
- Language
- en
- Open access
- closed
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- Jung, J.-H., Lee, J.-J., & Kwon, B.-H. (2006). Online Diagnosis of Induction Motors Using MCSA. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2006.885131
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