Locating Earth Fault of Synchronous Generator using Wavelet Transform and ANFIS

Authors

  • Amany. H. Helal Department of Studies and Researches, WDEPC, Alexandria, Egypt
  • Ehab. F. Badran Department of Electronics and Communication Engineering, AAST, Egypt
  • Hamdy. A. Ashour Department of Electrical and Control Engineering, AAST, Egypt

Keywords:

Synchronous generator, fault detection, WT, ANFIS

Abstract

Synchronous generators are considered the most important part in power generation equipment, hence protecting them is a high priority issue. This paper introduces a technique to detect and locate synchronous generators' earth fault using wavelet transform (WT) as a tool of features extraction and classification by Adaptive Neuro Fuzzy Inference System ANFIS. WT and ANFIS approaches have been illustrated using Simulink/Matlab for validation and proof of the concept.

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Published

2023-09-25

How to Cite

Amany. H. Helal, Ehab. F. Badran, & Hamdy. A. Ashour. (2023). Locating Earth Fault of Synchronous Generator using Wavelet Transform and ANFIS. Journal of Advanced Research Design, 49(1), 1–6. Retrieved from https://akademiabaru.com/submit/index.php/ard/article/view/4874
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