Article
Interval-valued fuzzy spiking neural P systems for fault diagnosis of power transmission networks
Author/s | Wang, Jun
Peng, Hong Yu, Wenping Ming, Jun Pérez Jiménez, Mario de Jesús Tao, Chengyu Huang, Xiangnian |
Department | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Publication Date | 2019 |
Deposit Date | 2021-07-20 |
Published in |
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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 ... 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. |
Funding agencies | Research Fund of Sichuan Science and Technology Project Chunhui Project Foundation of the Education Department of China Chunhui Project Foundation of the Education Department of China Research Foundation of the Education Department of Sichuan province |
Project ID. | 2018JY0083
Z2016143 Z2016148 17TD0034 |
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. |
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