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Wavelet Decomposition Levels by Tim (Dipayan) Mazumdar is a document available to read on EtoBox.
What is Wavelet Decomposition Levels about?
The paper analyzes the IEEE-16 bus system to enhance fault detection in power distribution networks using discrete wavelet transform (DWT) and machine learning techniques. It identifies the optimal wavelet decomposition level and function, finding that D8 provides the highest energy concentration and that the sym3 wavelet function is the most effective for fault detection with 100% accuracy across various conditions. The study offers practical guidelines for wavelet parameter selection and presents a system
- Author
- Tim (Dipayan) Mazumdar
- Language
- EN