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Paper
Title

High impedance fault detection: Discrete wavelet transform and fuzzy function approximation

مجله هوش مصنوعی و داده کاوی، دوره: 2، شماره: 2
Year: 1392
COI: JR_JADM-2-2_005
Language: EnglishView: 515
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Authors

m banejad - Electrical Engineering Department, Shahrood University of Technology, Shahrood, Iran
h ijadi - Electrical Engineering Department, Shahrood University of Technology, Shahrood, Iran

Abstract:

This paper presents a method including a combination of the wavelet transform and fuzzy function approximation (FFA) for high impedance fault (HIF) detection in distribution electricity network. Discrete wavelet transform (DWT) is used in this paper as a tool for a signal analysis and after studying differenttypes of mother signals, detailed types and feeder signal, the best case is selected. In the next step, the DWT is used to extract the features. The extracted features are used as the FFA Systems inputs. The FFA system uses the input-output pairs to create a function approximation of the features. The FFA system is able toclassify the new features. The combined model is used to model the HIF. This combined model has the high ability to model different types of HIF. In the proposed method, different kind of loads including nonlinear and asymmetric loads and HIF types are studied. The results show that the proposed method has high capability to distinguish between no fault and HIF states accurately.

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Paper COI Code

This Paper COI Code is JR_JADM-2-2_005. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/334736/

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If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
banejad, m and ijadi, h,1392,High impedance fault detection: Discrete wavelet transform and fuzzy function approximation,https://civilica.com/doc/334736

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Type of center: دانشگاه دولتی
Paper count: 8,563
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