Detection of coil shorting in an induction motor by means of wavelet detectors based on orthogonal Legendre polynomials
Authors:
- Mieczysław Zając,
- Maciej Sułowicz
Abstract
This paper presents the application of narrow-band detection wavelet filters, which use the Legendre orthogonal polynomial family, in the diagnostics of coil shorting in induction motors. Wavelet orthonormal bases were built with the use of the recurrent relationships generating higher-degree Legendre polynomials. For the scaling function constructed in the form of linear combination of Legendre polynomials of the selected levels, synthesis of the basic wavelet was performed – this mapped the characteristic properties of the signal carrying the information about the nature of the fault. A signal proportional to the machine axial flux was used for the analysis – this enabled the required diagnostics. On the basis of the constructed wavelet bases, the results of the analyses of the signals registered in the different states of the winding short-circuits of the stator winding of an induction motor operating under the constant load, were presented. The choice of an advanced method of analysis was dictated by the occurrence of the periodic energy flow of signals between the adjacent frequency bands which made the Fourier analyses ineffective.
- Record ID
- CUTc174d2ec784d446582aee8054acf937b
- Publication categories
- ; ;
- Author
- Pages
- [1-6]
- Other elements of collation
- il. (w tym kolor.); Bibliografia (na s.) - [6]; Bibliografia (liczba pozycji) - 9; Oznaczenie streszczenia - Abstr.
- Book
- 2017 International Symposium on Electrical Machines (SME), Naleczow, Poland, 18-21 June 2017, 2017, [S.l.], Institute of Electrical and Electronics Engineers, IEEE, [6] p., ISBN 978-1-5386-0359-8
- Keywords in English
- induction motor, motor faults, signal processing, time-frequency analysis, wavelets, orthogonal polynomials
- DOI
- DOI:10.1109/ISEM.2017.7993569 Opening in a new tab
- URL
- http://ieeexplore.ieee.org/document/7993569/ Opening in a new tab
- Language
- eng (en) English
- Score (nominal)
- 20
- Publication indicators
- Citation count
- 2
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUTc174d2ec784d446582aee8054acf937b/
- URN
urn:pkr-prod:CUTc174d2ec784d446582aee8054acf937b
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.