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Mathematical Problems in Engineering
Volume 2012, Article ID 717195, 12 pages
http://dx.doi.org/10.1155/2012/717195
Research Article

Fuzzy Timing Petri Net for Fault Diagnosis in Power System

1Faculty of Electrical Engineering, Islamic Azad University, Najafabad Branch, No 252 Khaghani Street, 8175848591 Isfahan, Iran
2Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81300 Johor Bahru, Johor, Malaysia

Received 8 March 2012; Accepted 27 June 2012

Academic Editor: Zheng-Guang Wu

Copyright © 2012 Alireza Tavakholi Ghainani et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [10 citations]

The following is the list of published articles that have cited the current article.

  • Guojiang Xiong, Dongyuan Shi, and Jinfu Chen, “Implementing fuzzy reasoning spiking neural P system for fault diagnosis of power systems,” 2013 IEEE Power & Energy Society General Meeting, pp. 1–8, . View at Publisher · View at Google Scholar
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  • Chunling Dong, Yue Zhao, and Qin Zhang, “Assessing the Influence of an Individual Event in Complex Fault Spreading Network Based on Dynamic Uncertain Causality Graph,” IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 8, pp. 1615–1630, 2016. View at Publisher · View at Google Scholar
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  • Mildreth Alcaraz-Mejia, Raul Campos-Rodriguez, and Marco Caballero-Gutierrez, “Modeling and Simulation of Task Allocation with Colored Petri Nets,” Computer Simulation, 2017. View at Publisher · View at Google Scholar
  • Zhongyuan Jiang, Xiaoliang Chen, and Mingwei Tang, “A supervisory control strategy for the detection and restoration of power transmission failures during peak periods using Petri nets,” Advances in Mechanical Engineering, vol. 9, no. 10, pp. 168781401773324, 2017. View at Publisher · View at Google Scholar