A comprehensive guide to selecting suitable wavelet decomposition level and functions in discrete wavelet transform for fault detection in distribution networks.

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第一作者： Esraa M,Shalby

第一单位： Faculty of Engineering, Ain Shams University, Cairo, 11517, Egypt. 2200859@eng.asu.edu.eg.;Department of Electrical Power and Machines Engineering, The Higher Institute of Engineering at El- Shorouk City, El-Shorouk Academy, Cairo, 11837, Egypt. 2200859@eng.asu.edu.eg.

作者： Esraa M,Shalby ^[1] ; Almoataz Y,Abdelaziz ^[2] ; Eman S,Ahmed ^[3] ; Basem,Abd-Elhamed Rashad ^[4]

作者单位： Faculty of Engineering, Ain Shams University, Cairo, 11517, Egypt. 2200859@eng.asu.edu.eg.;Department of Electrical Power and Machines Engineering, The Higher Institute of Engineering at El- Shorouk City, El-Shorouk Academy, Cairo, 11837, Egypt. 2200859@eng.asu.edu.eg. ^[1] Faculty of Engineering, Ain Shams University, Cairo, 11517, Egypt.;Faculty of Engineering and Technology, Future University in Egypt, Cairo, 11835, Egypt. ^[2] Department of Electrical Engineering, Faculty of Engineering, Kafrelsheikh University, Kafrelsheikh, Egypt. ^[3] Department of Electrical Power and Machines Engineering, The Higher Institute of Engineering at El- Shorouk City, El-Shorouk Academy, Cairo, 11837, Egypt. ^[4]

关键词 Decomposition level selection Discrete wavelet transform (DWT)Distribution networks Fault detection Feature extraction MATLAB classifier learner MATLAB wavelets toolbox Mother wavelets selection Support vector machine

DOI 10.1038/s41598-024-82025-2

PMID 39775005

发布时间 2025-01-08

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