Knowledge representation and general Petri net models for power grid fault diagnosis
Author:
Affiliation:
1. State Grid of China Technology CollegeSecond Ring South Road 500#Jinan250002People's Republic of China
2. School of Electrical EngineeringShandong University17923 Jingshi RoadJinanShandong250061People's Republic of China
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2014.0659
Reference21 articles.
1. Application of Neural-Network Modules to Electric Power System Fault Section Estimation
2. Artificial Neural Network and Support Vector Machine Approach for Locating Faults in Radial Distribution Systems
3. Fault Diagnosis of Electric Power Systems Based on Fuzzy Petri Nets
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