DISCRETE WAVELET ANALYSIS FOR STATOR FAULTS DETECTION IN INDUCTION MACHINE

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dc.contributor.authorR., Kechida1,
dc.contributor.author, . Menacer 2 A.
dc.date.accessioned2023-05-28T07:59:58Z
dc.date.available2023-05-28T07:59:58Z
dc.date.issued2020-01-01
dc.descriptionarticalen_US
dc.description.abstractThe induction motors are not always operating under complete steady state conditions, therefore prompting the development of non-stationary techniques for fault detection. In this paper an inter-turn short circuit fault is considered in the stator winding. The technique for diagnosis in transient state, especially in startup state is based from using the DWT. The signal used for the fault detection is the stator current. The experimental results show that using DWT can effectively be used to diagnose this type of the fault in the motor.en_US
dc.identifier.citationR. Kechida1, A. Menacer 2.DISCRETE WAVELET ANALYSIS FOR STATOR FAULTS DETECTION IN INDUCTION MACHINE. Journal of Fundamental and sciences. vol.12, no 1. janua 2020. Faculty of exact sciences. university of el oued. [visited in 01/05/2018. available from [copy the link here]en_US
dc.identifier.urihttp://dspace.univ-eloued.dz/handle/123456789/24324
dc.language.isoenen_US
dc.publisheruniversity of eloued جامعة الواديen_US
dc.relation.ispartofseries1112-9867;
dc.subjectInduction Machine; Fault diagnostic; Stator Inter-Turn Short Circuit; Discrete Wavelet Transform (DWT); Start-up state; Steady state.en_US
dc.titleDISCRETE WAVELET ANALYSIS FOR STATOR FAULTS DETECTION IN INDUCTION MACHINEen_US
dc.typeArticleen_US

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