Divisional fault diagnosis of large-scale power systems based on radial basis function neural network and fuzzy integral
- 31 December 2013
- journal article
- Published by Elsevier BV in Electric Power Systems Research
- Vol. 105, 9-19
- https://doi.org/10.1016/j.epsr.2013.07.005
Abstract
No abstract availableKeywords
This publication has 23 references indexed in Scilit:
- A New Approach to Fault Diagnosis of Power Systems Using Fuzzy Reasoning Spiking Neural P SystemsMathematical Problems in Engineering, 2013
- Study on Bayesian Network Parameters Learning of Power System Component Fault Diagnosis Based on Particle Swarm OptimizationInternational Journal of Smart Grid and Clean Energy, 2013
- Application of artificial bee colony-based optimization for fault section estimation in power systemsInternational Journal of Electrical Power & Energy Systems, 2013
- A new analytic approach for power system fault diagnosis employing the temporal information of alarm messagesInternational Journal of Electrical Power & Energy Systems, 2012
- Fuzzy Timing Petri Net for Fault Diagnosis in Power SystemMathematical Problems in Engineering, 2012
- Hybrid system based on constructive heuristic and integer programming for the solution of problems of fault section estimation and alarm processing in power systemsElectric Power Systems Research, 2012
- Bayesian Networks for Fault Diagnosis of a Large Power Station and its Transmission LinesElectric Power Components and Systems, 2012
- Fault Section Estimation for Power Networks Using Logic Cause-Effect ModelsIEEE Transactions on Power Delivery, 2010
- Implementing Fuzzy Reasoning Petri-Nets for Fault Section EstimationIEEE Transactions on Power Delivery, 2008
- An on-line expert system for fault section diagnosis in power systemsIEEE Transactions on Power Systems, 1997