Decision tree‐based method for optimum decomposition level determination in wavelet transform for noise reduction of partial discharge signals Article Swipe

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Amir Abbas Soltani , S. Mohammad Shahrtash ·

YOU? · · 2019 · Open Access · · DOI: https://doi.org/10.1049/iet-smt.2019.0081

Partial discharge (PD) monitoring in high‐voltage equipment is one of the effective methods for assessment of its insulation strength. To do this, noise reduction is one of the essential processes on measured PD signals. One of the most popular tools employed for PD de‐noising is wavelet transform. To exploit this transformation, three main parameters, including ‘mother wavelet’, ‘number of decomposition level’, and ‘thresholding procedure’, should be assigned. In this study, a novel and also more accurate method for the determination of required decomposition level is suggested. The proposed method employs a decision tree which takes the pattern of energy spectral density of PD signals in the frequency domain and delivers the optimum decomposition level for de‐noising by wavelet transform. The results, as compared with others, show the superiority of the proposed method in noise reduction of PD signals, both for simulations and field measured signals.

Related Topics

Wavelet Transform

Discrete Wavelet Transform

Computer Science

Algorithm

Mathematics

Artificial Intelligence

Engineering

Chemistry

Electrical Engineering

Voltage

Geometry

Organic Chemistry

Concepts

Partial discharge Noise reduction Wavelet transform Reduction (mathematics) Noise (video) Wavelet Pattern recognition (psychology) Wavelet packet decomposition Decomposition Discrete wavelet transform Computer science Speech recognition Algorithm Mathematics Artificial intelligence Engineering Chemistry Electrical engineering Voltage Image (mathematics) Geometry Organic chemistry

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Type: article
Language: en
Landing Page: https://doi.org/10.1049/iet-smt.2019.0081
PDF: https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-smt.2019.0081
OA Status: bronze
Cited By: 23
References: 21
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Title: Decision tree‐based method for optimum decomposition level determination in wavelet transform for noise reduction of partial discharge signals

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Language: en

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Publication year: 2019

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Publication date: 2019-10-07

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Authors: Amir Abbas Soltani, S. Mohammad Shahrtash

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Landing page: https://doi.org/10.1049/iet-smt.2019.0081

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Concepts: Partial discharge, Noise reduction, Wavelet transform, Reduction (mathematics), Noise (video), Wavelet, Pattern recognition (psychology), Wavelet packet decomposition, Decomposition, Discrete wavelet transform, Computer science, Speech recognition, Algorithm, Mathematics, Artificial intelligence, Engineering, Chemistry, Electrical engineering, Voltage, Image (mathematics), Geometry, Organic chemistry

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Cited by: 23

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Citations by year (recent): 2025: 2, 2024: 7, 2023: 2, 2022: 8, 2021: 2

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