dc.creator | Wang, Jun | es |
dc.creator | Peng, Hong | es |
dc.creator | Yu, Wenping | es |
dc.creator | Ming, Jun | es |
dc.creator | Pérez Jiménez, Mario de Jesús | es |
dc.creator | Tao, Chengyu | es |
dc.creator | Huang, Xiangnian | es |
dc.date.accessioned | 2021-07-20T09:50:04Z | |
dc.date.available | 2021-07-20T09:50:04Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Wang, J., Peng, H., Yu, W., Ming, J., Pérez Jiménez, M.d.J., Tao, C. y Huang, X. (2019). Interval-valued fuzzy spiking neural P systems for fault diagnosis of power transmission networks. Engineering Applications of Artificial Intelligence, 82, 102-109. | |
dc.identifier.issn | 0952-1976 | es |
dc.identifier.uri | https://hdl.handle.net/11441/116297 | |
dc.description.abstract | It is a challenge problem how to deal with the uncertainty in fault diagnosis of power systems. To solve the
challenge problem, this paper introduces an interval-valued fuzzy spiking neural P system (IVFSNP system),
where the interval-valued fuzzy logic is integrated into spiking neural P systems to characterize the uncertainty.
Based on the IVFSNP system, a fuzzy reasoning algorithm is presented, and the corresponding fault diagnosis
model is developed. IVFSNP system is capable of describing the incomplete and uncertain fault signals from
a supervisory control and data acquisition system equipped together with electric power systems. In order
to evaluate the availability and effectiveness of the proposed fault diagnosis model, two case studies of fault
diagnosis of a transmission network are discussed and analyzed, including complex and multiple fault situations
with the incomplete and uncertain status signals. The results of the case studies demonstrate that IVFSNP
system can be used to diagnose the faulty sections in power transmission networks accurately and effectively. | es |
dc.description.sponsorship | Research Fund of Sichuan Science and Technology Project 2018JY0083 | es |
dc.description.sponsorship | Chunhui Project Foundation of the Education Department of China Z2016143 | es |
dc.description.sponsorship | Chunhui Project Foundation of the Education Department of China Z2016148 | es |
dc.description.sponsorship | Research Foundation of the Education Department of Sichuan province 17TD0034 | es |
dc.format | application/pdf | es |
dc.format.extent | 7 | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Engineering Applications of Artificial Intelligence, 82, 102-109. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Power transmission networks | es |
dc.subject | Fault diagnosis | es |
dc.subject | Fuzzy spiking neural P systems | es |
dc.subject | Interval-valued fuzzy logic | es |
dc.title | Interval-valued fuzzy spiking neural P systems for fault diagnosis of power transmission networks | 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 | 2018JY0083 | es |
dc.relation.projectID | Z2016143 | es |
dc.relation.projectID | Z2016148 | es |
dc.relation.projectID | 17TD0034 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0952197619300648 | es |
dc.identifier.doi | 10.1016/j.engappai.2019.03.014 | es |
dc.contributor.group | Universidad de Sevilla. TIC-193: Computación Natural | es |
dc.journaltitle | Engineering Applications of Artificial Intelligence | es |
dc.publication.issue | 82 | es |
dc.publication.initialPage | 102 | es |
dc.publication.endPage | 109 | es |
dc.contributor.funder | Research Fund of Sichuan Science and Technology Project | es |
dc.contributor.funder | Chunhui Project Foundation of the Education Department of China | es |
dc.contributor.funder | Chunhui Project Foundation of the Education Department of China | es |
dc.contributor.funder | Research Foundation of the Education Department of Sichuan province | es |