Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14365/855
Title: | Broken rotor bar detection via four-band wavelet packet decomposition of motor current | Authors: | Cekic, Yalcin Eren, Levent |
Keywords: | Induction motors Broken rotor bars Wavelet packet decomposition Multi-band decomposition Current Signature Analysis Bearing Damage Detection Stator Current Induction Machines Fault-Diagnosis Transient Harmonics |
Publisher: | Springer | Abstract: | The induction motor current is nonstationary by nature, and time-scale analysis techniques such as wavelet packet decomposition (WPD) are more suitable for the analysis of the stator current for broken rotor bar detection. But, WPD is very costly in terms of the computational effort when half-band FIR filter banks are used in analysis. The implementation of four-band FIR filter banks in the analysis of a phase current is proposed here to reduce the computational cost. The use of four-band FIR filter banks with FPGA implementation would also provide higher levels of parallel processing capability resulting in further reduction in computational time required for detection of broken rotor bar faults. In WPD, it is also possible to tailor the frequency band size (resolution) so that one frequency band covers all motor fault induced frequencies due to rotor speed variations. Here, the rms value for broken rotor bar fault-related frequency band is compared with the baseline data to detect any broken rotor bar faults. | URI: | https://doi.org/10.1007/s00202-017-0674-4 https://hdl.handle.net/20.500.14365/855 |
ISSN: | 0948-7921 1432-0487 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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855.pdf Until 2030-01-01 | 1.39 MB | Adobe PDF | View/Open Request a copy |
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