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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