Affine projection algorithm-based exponential hyperbolic cosine for partial discharge denoising in substation

The detection of partial discharge (PD) in the field is critically important for the maintenance of electrical power systems. Traditional methods often employ the affine projection algorithm (APA) for denoising PD signals, aiming to retain their fundamental characteristics. However, the conventional...

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Bibliographic Details
Published in:Signal, image and video processing image and video processing, 2024-06, Vol.18 (4), p.3829-3836
Main Authors: Bao, Xu, Yan, Wenxu, Ren, Shana, Zhang, Hanxin, Wang, Wenyuan
Format: Article
Language:English
Subjects:
Algorithms
Computer Imaging
Computer Science
Discharge
Electric power systems
Hyperbolic functions
Image Processing and Computer Vision
Multimedia Information Systems
Noise reduction
Original Paper
Pattern Recognition and Graphics
Signal quality
Signal,Image and Speech Processing
Substations
System identification
Trigonometric functions
Vision
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Summary:The detection of partial discharge (PD) in the field is critically important for the maintenance of electrical power systems. Traditional methods often employ the affine projection algorithm (APA) for denoising PD signals, aiming to retain their fundamental characteristics. However, the conventional APA approach exhibits limitations in effectively eliminating pulse noise. To address this issue, this paper introduces a hyperbolic cosine function and proposes an innovative denoising technique, termed the affine projection exponential hyperbolic cosine algorithm (APEHCA). This enhanced APA-based method is specifically designed to mitigate noise in PD signals. Both simulation and empirical tests substantiate that the newly proposed algorithm excels in system identification and significantly improves the quality of PD signal denoising.
ISSN:1863-1703
1863-1711
DOI:10.1007/s11760-024-03045-z