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Diagnosis of Stator-Winding-Turn Faults of Induction Motor by Direct Detection of Negative-Sequence Currents
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- Kato Toshiji
- Dept. of Electrical Engineering, Doshisha University
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- Inoue Kaoru
- Dept. of Electrical Engineering, Doshisha University
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- Yoshida Keisuke
- Dept. of Electrical Engineering, Doshisha University
Bibliographic Information
- Other Title
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- 逆相電流の直接検出による誘導機の固定子巻線の短絡故障診断法
- ギャクソウ デンリュウ ノ チョクセツ ケンシュツ ニ ヨル ユウドウキ ノ コテイシ マキセン ノ タンラク コショウ シンダンホウ
- Diagnosis of Stator‐Winding‐Turn Faults of Induction Motor by Direct Detection of Negative Sequence Currents
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Description
In an AC motor, the quick detection of an initially small fault is important for preventing any consequent large fault. Various detection approaches have been proposed in previous papers, for example, by the Park vector (PV), AI techniques, wavelet analysis, and negative-sequence analysis. This paper proposes a method for diagnosing the stator-winding faults of an induction motor by the direct detection of its negative-sequence current. Before starting the diagnosis, the asymmetry admittances for the considered fault cases are obtained by analysis or simulation. The amplitude and phase of the positive-sequence voltage, Vp, and of the positive-sequence current, Ip, are extracted from the voltage PV and current PV, respectively. The amplitude and phase of the negative-sequence, In, are extracted from the residue. The asymmetry admittance, Ya, is calculated from In and Vp. When the positive-sequence admittance is known, Ya can also be calculated from Yp, Ip, and In. These steps are repeated for each sample time and the motor condition is diagnosed according to the variations in the Ya values. The simulation and experimental results are also shown and the proposed method is investigated and validated.
Journal
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- IEEJ Transactions on Industry Applications
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IEEJ Transactions on Industry Applications 131 (11), 1346-1353, 2011
The Institute of Electrical Engineers of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390282679636328832
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- NII Article ID
- 10030531420
- 210000178014
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- NII Book ID
- AN10012320
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- ISSN
- 13488163
- 15206416
- 09136339
- 04247760
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- NDL BIB ID
- 11293839
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL Search
- Crossref
- CiNii Articles
- OpenAIRE
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- Abstract License Flag
- Disallowed