NDLI: Approximate-derivative-based signal-processing method to segment power-quality disturbances

Content Provider	IET Digital Library
Author	Akmaz, Düzgün
Abstract	The increasing complexity of power systems and the increase in power quality (PQ) data have made it necessary to develop different and simple signal-processing tools. In this study, an approximate-derivative (AD) signal-processing tool based on a simple mathematical processing approach was developed for the segmentation of PQ disturbances. Although the developed method was highly effective for the segmentation of noise-free signals, the method was unable to properly handle the segmentation of noisy signals. Thus, to mitigate this situation, a denoising method based on the Sqtwolog threshold was applied to the noisy signals. After denoising, the proposed AD method effectively performed the segmentation. Subsequently, AD and a single-level discrete wavelet transform (DWT) with Daubechies 4 mother wavelets were compared through simulations, which showed that successful results can be obtained using the proposed method. Furthermore, all simulations showed that the application of AD and single-level DWT to PQ signals under different conditions resulted in similar patterns with different amplitudes. Therefore, this study provides a different approach for analysing signal using single-level DWT.
Starting Page	4835
Ending Page	4846
Page Count	12
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 21, Nov (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/21
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2020.0372
Journal	IET Generation, Transmission & Distribution
Publisher Date	2020-08-28
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	AD Method Analysing Signal Approximate-derivative Signal-processing Tool Approximate-derivative-based Signal-processing Method Computer Vision And Image Processing Technique Denoising Method Different Signal-processing Tools Digital Signal Processing Discrete Wavelet Transform Filtering Method in Signal Processing Filtering Theory Image Denoising Integral Transforms Noise-free Signal Noisy Signal Optical, Image And Video Signal Processing Power Quality Data Power Supply Quality Power System PQ Disturbances PQ Signal Segment Power-quality Disturbances Signal Denoising Signal Processing And Detection Simple Mathematical Processing Approach Simple Signal-processing Tool Single-level Discrete Wavelet Wavelet Transform
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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