Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/8209
Title: | Broken bar detection using current analysis - A case study | Authors: | Matić, Dragan Kanović, Željko Reljić, Dejan Kulić, Filip Oros, Đura Vasić, Veran |
Issue Date: | 1-Jan-2013 | Journal: | Proceedings - 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2013 | Abstract: | This paper covers a case study of broken bar detection for 3.15 MW motor in a thermal power plant application. The motor current is measured in one phase. Feature extraction is based on transient and steady state analysis. Hilbert and Wavelet transforms are used to extract broken bar features. To discuss rotor condition in time domain skewness and kurtosis of current envelope are also considered. Low shaft-load conditions are present. In case of high-voltage, high-power induction motor reliable broken bar detection is possible when contemporary digital signal processing techniques are used © 2013 IEEE. | URI: | https://open.uns.ac.rs/handle/123456789/8209 | ISBN: | 9781479900251 | DOI: | 10.1109/DEMPED.2013.6645748 |
Appears in Collections: | FTN Publikacije/Publications |
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