NDLI: Classification of power quality signals using smooth-windowed Wigner-Ville distribution

Content Provider	IEEE Xplore Digital Library
Author	Bin Abdullah, A.R. Bin Sha'ameri, A.Z. Bin Jidin, A.
Copyright Year	2010
Description	Author affiliation: Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Malaysia (Bin Abdullah, A.R.; Bin Jidin, A.) \|\| Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Malaysia (Bin Sha'ameri, A.Z.)
Abstract	Power quality has become a great concern to all electricity consumers. Poor power quality can cause equipment failure, data and economical losses. An automated monitoring system is needed to ensure signal quality, reduce diagnostic time and rectify failures. This paper presents the detection and classification of power quality signals using bilinear time-frequency distribution which is smooth-windowed Wigner-Ville distribution (SWWVD). The power quality signals focused are swell, sag, interruption, harmonic, interharmonic and transient based on IEEE Std. 1159–2009. The technique represents signal jointly in time-frequency representation (TFR) with high frequency and time resolution. Thus, it is very appropriate to analyze the signals that consist of multi-frequency components and magnitude variations. From the TFR, signal characteristics are calculated and used as input for signal classifier. To verify the system performance, 100 signals with various characteristics for each type of power quality signal are generated and classified at SNR from 0 to 40 dB by simulation using MATLAB. It shows that the system gives 100% percent correct classification at 36dB of SNR for all power quality signals.
Starting Page	1981
Ending Page	1985
File Size	453565
Page Count	5
File Format	PDF
ISBN	9781424477203
e-ISBN	9788986510119
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-10
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	KIEE
Subject Keyword	Power quality Time frequency analysis Total harmonic distortion Transient analysis Harmonic analysis Signal to noise ratio
Content Type	Text
Resource Type	Article

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

Signal Analysis and Classification of Digital Communication Signals using Adaptive Smooth-Windowed Wigner-Ville Distribution

Power quality analysis using frequency domain smooth-windowed Wigner-Ville distribution

Wigner-Ville distribution and windowed Wigner-Ville distribution of noisy signals

Power quality analysis using smooth-windowed wigner-ville distribution

b TIME-FREQUENCY ANALYSIS OF HEART SOUNDS USING WINDOWED AND SMOOTH WINDOWED WIGNER-VILLE DISTRIBUTION

Detection and analysis of power quality disturbances using Bilinear Time-Frequency Distribution

Signal analysis and classification of digital communication signal using higher order time-frequency analysis techniques

Constellation analysis of PSK signals using cross time-frequency distribution

Adaptive Smooth-Windowed Wigner-Ville Distribution for Digital Communication Signal

Classification of power quality signals using smooth-windowed Wigner-Ville distribution

Similar Documents

Signal Analysis and Classification of Digital Communication Signals using Adaptive Smooth-Windowed Wigner-Ville Distribution

Power quality analysis using frequency domain smooth-windowed Wigner-Ville distribution

Wigner-Ville distribution and windowed Wigner-Ville distribution of noisy signals

Power quality analysis using smooth-windowed wigner-ville distribution

b TIME-FREQUENCY ANALYSIS OF HEART SOUNDS USING WINDOWED AND SMOOTH WINDOWED WIGNER-VILLE DISTRIBUTION

Detection and analysis of power quality disturbances using Bilinear Time-Frequency Distribution

Signal analysis and classification of digital communication signal using higher order time-frequency analysis techniques

Constellation analysis of PSK signals using cross time-frequency distribution

Adaptive Smooth-Windowed Wigner-Ville Distribution for Digital Communication Signal

Classification of power quality signals using smooth-windowed Wigner-Ville distribution