NDLI: Multiresolution signal decomposition: a new tool for fault detection in power transformers during impulse tests

Content Provider	IEEE Xplore Digital Library
Author	Pandey, S.K. Satish, L.
Copyright Year	1986
Abstract	Detection of major faults in power transformers during impulse tests has never been an issue, but is rather difficult when only a minor fault, say a sparkover between adjacent coils or turns and lasting for a few microseconds, occurs. However, detection of such a type of fault is very important to avoid any catastrophic situation. In this paper, the authors propose a new and powerful method capable of detecting minor incipient faults. The approach is based on wavelet transform analysis, particularly the dyadic-orthonormal wavelet transform. The key idea underlying the approach is to decompose a given faulty neutral current response into other signals which represent a smoothed and detailed version of the original. The decomposition is performed by the multiresolution signal decomposition technique. Preliminary simulation work demonstrated here shows that the proposed method is robust and far superior to other existing methods to resolve such types of faults.
Sponsorship	IEEE Power Engineering Society
Starting Page	1194
Ending Page	1200
Page Count	7
File Size	918362
File Format	PDF
ISSN	08858977
Volume Number	13
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-10-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal resolution Fault detection Power transformers Transfer functions Power transformer insulation Costs IEC standards Coils Wavelet analysis Wavelet transforms
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Detection and localization of interturn fault in the HV winding of a power transformer using wavelets

Wavelet transform-based impulse fault pattern recognition in distribution transformers

Wavelet-aided SVM tool for impulse fault identification in transformers

Detection of Failures Within Transformers by FRA Using Multiresolution Decomposition

Pattern classification of impulse faults in transformers by wavelet analysis

Novel Technique to Improve the Fault Detection Sensitivity in Transformer Impulse Test

Modeling and detection of transformer internal incipient fault during impulse test

Evaluation of parameters of lightning impulse voltages from transformer tests using the new k-factor approach

DSP Wavelet-Based Tool for Monitoring Transformer Inrush Currents and Internal Faults

Multiresolution signal decomposition: a new tool for fault detection in power transformers during impulse tests

Similar Documents

Detection and localization of interturn fault in the HV winding of a power transformer using wavelets

Wavelet transform-based impulse fault pattern recognition in distribution transformers

Wavelet-aided SVM tool for impulse fault identification in transformers

Detection of Failures Within Transformers by FRA Using Multiresolution Decomposition

Pattern classification of impulse faults in transformers by wavelet analysis

Novel Technique to Improve the Fault Detection Sensitivity in Transformer Impulse Test

Modeling and detection of transformer internal incipient fault during impulse test

Evaluation of parameters of lightning impulse voltages from transformer tests using the new k-factor approach

DSP Wavelet-Based Tool for Monitoring Transformer Inrush Currents and Internal Faults

Multiresolution signal decomposition: a new tool for fault detection in power transformers during impulse tests