Fault Diagnosis of Metro Traction Power Systems Using A Modified Fuzzy Reasoning Spiking Neural P System

He, Yangyang; Wang, Tao; Huang, Kang; Zhang, Gexiang; Pérez Jiménez, Mario de Jesús

Artículo

dc.creator	He, Yangyang	es
dc.creator	Wang, Tao	es
dc.creator	Huang, Kang	es
dc.creator	Zhang, Gexiang	es
dc.creator	Pérez Jiménez, Mario de Jesús	es
dc.date.accessioned	2021-04-26T10:50:54Z
dc.date.available	2021-04-26T10:50:54Z
dc.date.issued	2015
dc.identifier.citation	He, Y., Wang, T., Huang, K., Zhang, G. y Pérez Jiménez, M.d.J. (2015). Fault Diagnosis of Metro Traction Power Systems Using A Modified Fuzzy Reasoning Spiking Neural P System. Romanian Journal of Information Science and Technology (ROMJIST), 18 (3), 256-272.
dc.identifier.issn	1453-8245	es
dc.identifier.uri	https://hdl.handle.net/11441/107804
dc.description.abstract	This paper presents the application of a modified fuzzy reasoning spiking neural P systems (MFRSN P system, for short) to fault diagnosis of metro traction power supply systems. In MFRSN P systems, three types of neurons are used to represent operation information of protection devices including protective relays and circuit breakers; a reasoning algorithm associated with MFRSN P systems is introduced to fulfill fault reasoning; fault diagnosis rules for metro traction power supply systems and their MFRSN P systems are described. Case studies show the feasibility and effectiveness of the presented method.	es
dc.description.sponsorship	Ministerio de Economía y Competitividad TIN2012-37434	es
dc.format	application/pdf	es
dc.format.extent	17	es
dc.language.iso	eng	es
dc.publisher	Romanian Academy, Section for Information Science and Technology	es
dc.relation.ispartof	Romanian Journal of Information Science and Technology (ROMJIST), 18 (3), 256-272.
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Membrane Computing	es
dc.subject	Probabilistic fuzzy reasoning spiking neural P system	es
dc.subject	Metro traction power supply system	es
dc.subject	Fault diagnosis	es
dc.title	Fault Diagnosis of Metro Traction Power Systems Using A Modified Fuzzy Reasoning Spiking Neural P System	es
dc.type	info:eu-repo/semantics/article	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/publishedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial	es
dc.relation.projectID	TIN2012-37434	es
dc.relation.publisherversion	https://www.romjist.ro/content/cuprins18_3.html	es
dc.contributor.group	Universidad de Sevilla. TIC193: Computación Natural	es
dc.journaltitle	Romanian Journal of Information Science and Technology (ROMJIST)	es
dc.publication.volumen	18	es
dc.publication.issue	3	es
dc.publication.initialPage	256	es
dc.publication.endPage	272	es
dc.contributor.funder	Ministerio de Economía y Competitividad (MINECO). España	es

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