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dc.contributor.authorGünal, Serkan
dc.contributor.authorEce, Doğan Gökhan
dc.contributor.authorGerek, Ömer Nezih
dc.date.accessioned2019-10-21T20:11:48Z
dc.date.available2019-10-21T20:11:48Z
dc.date.issued2009
dc.identifier.issn0888-3270
dc.identifier.urihttps://dx.doi.org/10.1016/j.ymssp.2009.05.011
dc.identifier.urihttps://hdl.handle.net/11421/20324
dc.descriptionWOS: 000269289000018en_US
dc.description.abstractThis paper presents a new approach to induction motor condition monitoring using notch-filtered motor current signature analysis (NFMCSA). Unlike most of the previous work utilizing motor current signature analysis (MCSA) using spectral methods to extract required features for detecting motor fault conditions, here NFMCSA is performed in time-domain to extract features of energy, sample extrema, and third and fourth cumulants evaluated from data within sliding time window. Six identical three-phase induction motors were used for the experimental verification of the proposed method. One healthy machine was used as a reference, while other five with different synthetic faults were used for condition detection and classification. Extracted features obtained from NFMCSA of all motors were employed in three different and popular classifiers. The proposed motor current analysis and the performance of the features used for fault detection and classification are examined at various motor load levels and it is shown that a successful induction motor condition monitoring system is developed. Developed system is also able to indicate the load level and the type of a fault in multi-dimensional feature space representation. In order to test the generality and applicability of the developed method to other induction motors, data acquired from another healthy induction motor with different number of poles and rated power is also incorporated into the system. In spite of the above difference, the proposed feature set successfully locates the healthy motor within the classification cluster of "healthy motors" on the feature spaceen_US
dc.language.isoengen_US
dc.publisherAcademic Press LTD- Elsevier Science LTDen_US
dc.relation.isversionof10.1016/j.ymssp.2009.05.011en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectInduction Machineen_US
dc.subjectCondition Monitoringen_US
dc.subjectNotch-Filteren_US
dc.subjectSkewnessen_US
dc.subjectKurtosisen_US
dc.titleInduction machine condition monitoring using notch-filtered motor currenten_US
dc.typearticleen_US
dc.relation.journalMechanical Systems and Signal Processingen_US
dc.contributor.departmentAnadolu Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümüen_US
dc.identifier.volume23en_US
dc.identifier.issue8en_US
dc.identifier.startpage2658en_US
dc.identifier.endpage2670en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorGünal, Serkan
dc.contributor.institutionauthorEce, Doğan Gökhan
dc.contributor.institutionauthorGerek, Ömer Nezih


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