Chromatography Denoising with Improved Wavelet Thresholding Based on Modified Genetic Particle Swarm Optimization

Chromatography Denoising with Improved Wavelet Thresholding Based on Modified Genetic Particle Swarm Optimization

The wavelet threshold functions are widely used in oil chromatography denoising because high-quality signals are the basis for Dissolved Gas Analysis (DGA), which determines the accuracy of transformer fault monitoring. However, there are certain limitations of the wavelet threshold functions, such...

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Bibliographic Details
Main Authors: Jinhui Zhu, Zhongjun Fu, Keyang Li, Anjie Su
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Electronics
Subjects:
gas chromatography
genetic algorithms
particle swarm optimization
power transformers
signal denoising
wavelet transforms
Online Access:https://www.mdpi.com/2079-9292/12/20/4249

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https://www.mdpi.com/2079-9292/12/20/4249

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