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Proceedings of the 5th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2021, 2022, Vol.864, p.14-19
2022

Details

Autor(en) / Beteiligte
Titel
Rotor Broken Bar Fault Diagnosis for Induction Traction Motor Considering Low Load Condition
Ist Teil von
  • Proceedings of the 5th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2021, 2022, Vol.864, p.14-19
Ort / Verlag
Singapore: Springer Singapore Pte. Limited
Erscheinungsjahr
2022
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • Rotor broken bar fault accounts for more than 5% in induction motor faults. The frequencies (1 ± 2s)f1 in motor current are recognized as the fault characteristics to detect the fault. However, when the traction motor works under light load, e.g., idling condition, the fault diagnosis algorithm will be invalid as the characteristic frequency approaches to the fundamental frequency f1. In this paper, a low frequency injection algorithm is adopted to detect the rotor broken bar fault for an induction traction motor under the low load condition. Firstly, the fault characteristic frequency generated by the injected voltage is analyzed. Then the selection of the injected voltage frequency is discussed, and the implementation of the low-frequency voltage injection algorithm for the motor is developed. Finally, the proposed method is validated through the experiment results.
Sprache
Englisch
Identifikatoren
ISBN: 9789811699047, 9811699046
ISSN: 1876-1100
eISSN: 1876-1119
DOI: 10.1007/978-981-16-9905-4_2
Titel-ID: cdi_springer_books_10_1007_978_981_16_9905_4_2

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