Evaluation of Flashover Voltage Levels of Contaminated Hydrophobic Polymer Insulators Using Regression Trees, Neural Networks, and Adaptive Neuro-Fuzzy

[...]flashover voltage could lead to service outage and affects negatively the reliability of the power system. [...]the authors of this work are motivated to consider and develop numerical evaluation or accurate modeling of flashover voltages levels plays a significant role in studying the dynamic...

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Bibliographic Details
Published inTelkomnika Vol. 16; no. 2; pp. 495 - 512
Main Authors Abo-Elyousr, Farag K., Nassrat, L. S.
Format Journal Article
LanguageEnglish
Published Yogyakarta Ahmad Dahlan University 01.04.2018
Subjects
Alternative energy sources
Artificial neural networks
Blood pressure
Classification
Computer engineering
Electric fields
Electric power
Electrical engineering
Fault diagnosis
Flashover
Fuzzy logic
Insulators
Neural networks
Polymers
Regression analysis
Rubber
Simulation
Software
Variables
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Summary:[...]flashover voltage could lead to service outage and affects negatively the reliability of the power system. [...]the authors of this work are motivated to consider and develop numerical evaluation or accurate modeling of flashover voltages levels plays a significant role in studying the dynamic behavior of polymeric materials. In order to estimate prediction performance of the pruned regression tree model, a comparison was made between the perceptron results of a multilayer feed-forward neural network with back propagation and the adaptive neuro-fuzzy approach. Since the multilayer feed-forward neural network is a well-known universal estimator for researchers, half of the measured data is used for training. Using a computer with a processor Intel(R) Core(TM) Í3-4160 CPU of speed 3.5GHz and 8GB ram, the required time for training the data is reported in Table 6. Because of the aforementioned appeal of the regression trees technique, it will be used to investigate the behavior of EPDM composite insulators against the SiR contents based on the recorded experimental work.
ISSN:1693-6930
2302-9293
DOI:10.12928/telkomnika.v16i2.5103