Multiple partial discharge source discrimination with multiclass support vector machines

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Show simple item record Robles Muñoz, Guillermo Parrado Hernández, Emilio Ardila Rey, Jorge Alfredo Martínez Tarifa, Juan Manuel 2022-09-05T10:08:51Z 2022-09-05T10:08:51Z 2016-08-15
dc.identifier.bibliographicCitation Robles, G., Parrado-Hernández, E., Ardila-Rey, J., & Martínez-Tarifa, J. M. (2016). Multiple partial discharge source discrimination with multiclass support vector machines. Expert Systems with Applications, 55, 417–428.
dc.identifier.issn 0957-4174
dc.description.abstract The costs of decommissioning high-voltage equipment due to insulation breakdown are associated to the substitution of the asset and to the interruption of service. They can reach millions of dollars in new equipment purchases, fines and civil lawsuits, aggravated by the negative perception of the grid utility. Thus, condition based maintenance techniques are widely applied to have information about the status of the machine or power cable readily available. Partial discharge (PD) measurements are an important tool in the diagnosis of power systems equipment. The presence of PD can accelerate the local degradation of insulation systems and generate premature failures. Conventionally, PD classification is carried out using the phase resolved partial discharge (PRPD) pattern of pulses.
dc.format.extent 12
dc.language.iso eng
dc.publisher Elsevier
dc.rights © 2016 Elsevier Ltd. All rights reserved
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.subject.other Support vector machine
dc.subject.other Partial discharges
dc.subject.other Electric maintenance
dc.subject.other Machine learning
dc.subject.other Condition monitoring
dc.subject.other Risk assessment
dc.subject.other Pattern-recognition
dc.subject.other Neural-network
dc.subject.other Pd sources
dc.subject.other Classification
dc.subject.other Separation
dc.subject.other Apparatus
dc.subject.other Voltage
dc.title Multiple partial discharge source discrimination with multiclass support vector machines
dc.type article
dc.subject.eciencia Ingeniería Mecánica
dc.rights.accessRights openAccess
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 417
dc.identifier.publicationlastpage 428
dc.identifier.publicationtitle Expert Systems with Applications
dc.identifier.publicationvolume 55
dc.identifier.uxxi AR/0000018672
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