A Combined Approach of Empirical Wavelet Transform and Artificial Neural Network based High Impedance Fault Classification in Micro-grid system
Author:
Affiliation:
1. School of Electrical Engineering, KIIT Deemed to be University,Bhubaneswar,India
2. Indian Institute of Technology,Department of Electrical Engineering,Patna,Bihar,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9864330/9864331/09864362.pdf?arnumber=9864362
Reference22 articles.
1. A novel high impedance fault detection technique in distribution systems with distributed generators
2. Detection of high impedance fault in distribution system considering distributed generation
3. High-Impedance Fault Detection Method Based on One-Dimensional Variational Prototyping-Encoder for Distribution Networks
4. Fault Diagnosis Scheme for Cross-Country Faults in Dual-Circuit Line With Emphasis on High-Impedance Fault Syndrome
5. New ANN-Based Algorithms for Detecting HIFs in Multigrounded MV Networks
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1. A Critical Analysis on Different High Impedance Fault Detection Schemes;Electric Power Components and Systems;2023-11-22
2. A Reliable Fault Classification Method in the AC Distribution System Based on the Bagged Tree Ensemble Classifier;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06
3. Combined VMD-ANN Based Approach for Classification and Analysis of Power system faults in AC Distribution System;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06
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