Recognition of Stator Winding Inter-Turn Fault in Interior-Mount LSPMSM Using Acoustic Signals

dc.contributor.authorMaraaba, Luqman S.
dc.contributor.authorSsennoga, Twaha
dc.contributor.authorMemon, Azhar
dc.contributor.authorAl-Hamouz, Zakariya
dc.date.accessioned2022-12-21T19:11:58Z
dc.date.available2022-12-21T19:11:58Z
dc.date.issued2020
dc.description.abstractThis paper presents a novel stator inter-turn fault diagnosis method for Line Start Permanent Magnet Synchronous Motors (LSPMSMs) using the frequency analysis of acoustic signals resulting from asymmetrical faults. In this method, acoustic data are experimentally collected from a 1 hp interior mount LSPMSM for di erent inter-turn fault cases and motor loading levels, while including the background noise. The signals are collected using a smartphone at a sampling rate of 48,000 samples per second. The signal for each case is analyzed using fast Fourier transform (FFT), which results in the decomposition of the signal into its frequency components. The results indicate that, for both no-load and full-load conditions, 39 components are observed to be a ected by the faults, whereby their amplitudes increase with the fault severity. The 40-turns fault shows the highest di erence in the component amplitudes compared with the healthy condition acoustic signal. Therefore, this diagnostic method is able to detect the stator inter-turn fault for interior mount LSPMSMs. Moreover, the method is simple and cheap since it uses a readily available sensoren_US
dc.identifier.citationMaraaba, L. S., Twaha, S., Memon, A., & Al-Hamouz, Z. (2020). Recognition of stator winding inter-turn fault in interior-mount LSPMSM using acoustic signals. Symmetry, 12(8), 1370.en_US
dc.identifier.otherdoi:10.3390/sym12081370
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/6478
dc.language.isoenen_US
dc.publisherSymmetryen_US
dc.subjectelectric motoren_US
dc.subjectinter-turn faulten_US
dc.subjectacoustic signalsen_US
dc.titleRecognition of Stator Winding Inter-Turn Fault in Interior-Mount LSPMSM Using Acoustic Signalsen_US
dc.typeArticleen_US
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