Diagnosis of stator shorted-turn faults in induction machines using discrete wavelet transform
Autor: | Adisa A. Jimoh, M. Arun Bhaskar, Yskandar Hamam, OdunAyo Imoru |
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Rok vydání: | 2017 |
Předmět: |
Discrete wavelet transform
Engineering Computer Networks and Communications business.industry Stator 020209 energy 020208 electrical & electronic engineering 02 engineering and technology Development Residual Computer Science Applications law.invention Wavelet Band-pass filter Control theory Electromagnetic coil law Turn (geometry) 0202 electrical engineering electronic engineering information engineering Electronic engineering Harmonic business Civil and Structural Engineering |
Zdroj: | African Journal of Science, Technology, Innovation and Development. 9:349-355 |
ISSN: | 2042-1346 2042-1338 |
Popis: | Incipient detection and diagnosis of stator winding shorted-turn faults in induction machines is essential for reliable and economical operations in industries. The problem of detecting shorted-turn faults in stator windings has been difficult. Although, from the supply currents, major winding faults can easily be detected, minor faults with less than five per cent of winding turns are not easily detectable. If not detected early, such faults can lead to major winding faults which may further lead to the disruption of the machine and causes production shutdowns. This paper describes the discrete wavelet transform (DWT) based diagnosis technique that analyses stator currents under faulty (stator shorted-turn) and healthy conditions. The developed technique depends on the band pass filtering carried out by the DWT, facilitating the extraction of the harmonic components produced by the shorted-turn faults. The discrepancies energy spectrum for three frequencies from the residual of de-noising analysis enables... |
Databáze: | OpenAIRE |
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