Advanced Diagnosis of Outer Cage Damage in Double-Squirrel-Cage Induction Motors Under Time-Varying Conditions Based on Wavelet Analysis
- Authors
- Gritli, Yasser; Lee, Sang Bin; Filippetti, Fiorenzo; Zarri, Luca
- Issue Date
- 5월-2014
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Double-squirrel-cage induction machine; fault diagnosis; time-varying conditions; wavelet transform (WT)
- Citation
- IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, v.50, no.3, pp.1791 - 1800
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
- Volume
- 50
- Number
- 3
- Start Page
- 1791
- End Page
- 1800
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/98614
- DOI
- 10.1109/TIA.2013.2285958
- ISSN
- 0093-9994
- Abstract
- It is known that classical fast-Fourier-transform-based steady-state spectrum analysis, such as motor current signature analysis, may fail to detect outer cage damage in double-squirrel-cage induction motors. This is because the magnitude of the rotor fault frequency components (RFFCs) in the current spectrum of faulty motors is small, due to the low-magnitude current circulation in the outer cage under a steady-state operation. The probability of misdetection is higher in time-varying load applications, such as conveyor belts, pulverizers, etc., for which double-cage motors are frequently employed. In case of load variation, the small RFFCs are spread in a bandwidth proportional to the speed variation, which makes them even more difficult to detect. A diagnosis method based on discrete wavelet transform and optimized for sensitive detection under transient operating conditions is proposed in this paper. An experimental study on a custom-built fabricated Cu double-cage-rotor induction motor shows that the proposed method can provide improved detection of outer cage faults particularly used in time-varying load applications.
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