NDLI: Development of Hankel-SVD hybrid technique for multiple noise removal from PD signature

Content Provider	IET Digital Library
Author	Govindarajan, Suganya Subbaiah, Jayalalitha Cavallini, Andrea Krithivasan, Kannan Jayakumar, Jaikanth
Abstract	Detection and measurement of partial discharge (PD) phenomena combined with the separation and identification of PD sources is the way to achieve effective insulation integrity assessment. However, during measurement, PD signals are coupled with interferences (discrete spectral, pulsive, and white noises). Recovering PD signals from such interferences would improve PD source separation (thus identification), but still remains a challenging task. Several denoising methods have been proposed to suppress interferences. However, using a universal method to achieve interference removal is probably impossible, as the characteristics of the interferences are distinct. This study proposes a novel low-rank H-Matrix-based singular value decomposition (SVD) filter (H-SVD) that removes different types of interferences. Denoising is done by projecting the measured pulse in a lower dimensional signal space. To assess the effectiveness of the proposed method, H-SVD filter is first applied to simulated PD data and later on real-time PD data with the introduction of three different types of synthetic noises. The results of the evaluation metrics confirm that H-SVD has significant performance improvements compared to existing state-of-the-art PD denoising methods.
Starting Page	1075
Ending Page	1084
Page Count	10
ISSN	17518822
Volume Number	13
e-ISSN	17518830
Issue Number	Issue 8, Oct (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-smt/13/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-smt.2018.5679
Journal	IET Science, Measurement & Technology
Publisher Date	2019-04-30
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algebra Dielectric Breakdown And Discharges Electromagnetic Compatibility Filtering Method in Signal Processing Filtering Theory H-SVD Filter Hankel Matrix Hankel Matrix-based Singular Value Decomposition Filter Hankel-SVD Hybrid Technique Insulation Integrity Assessment Interference Interference Removal Interference Suppression Measured Pulse Multiple Noise Removal Partial Discharge Measurement Partial Discharge Phenomena Partial Discharges PD Denoising Method PD Signal PD Signature PD Source Separation Real-time PD Data Signal Denoising Signal Space Simulated PD Data Singular Value Decomposition Statistics Suppress Interferences Synthetic Noises Universal Method White Noise White Noises
Content Type	Text
Resource Type	Article
Subject	Atomic and Molecular Physics, and Optics 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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