NDLI: Power quality events detection using fourth-order spectra

Content Provider	IEEE Xplore Digital Library
Author	Gonzalez de la Rosa, J.J. Sierra-Fernandez, J.M. Aguera-Perez, A. Palomares-Salas, J.C. Moreno-Munoz, A.
Copyright Year	2013
Description	Author affiliation: Res. Group PAIDI-TIC-168, Univ. of Cadiz. Electron., Algeciras, Spain (Gonzalez de la Rosa, J.J.; Sierra-Fernandez, J.M.; Aguera-Perez, A.; Palomares-Salas, J.C.) \|\| Electron., Res. Group PAIDI-TIC-168, Univ. of Cordoba-Spain, Córdoba, Spain (Moreno-Munoz, A.)
Abstract	This paper introduces the use of a fourth-order frequency-domain statistical estimator, the spectral kurtosis (SK), in the field of power-quality analysis. The research has been organized in the frame of a research national project and points towards the implementation of these techniques into an automatic platform to perform PQ analysis in power plants and power inverters. Higher-order statistics in the frequency domain manage to distinguish 3 types of electrical anomalies (sags, swells and transients), with an accuracy of 83%.
Starting Page	13
Ending Page	18
File Size	759062
Page Count	6
File Format	PDF
ISSN	21669546
e-ISBN	9781467349130
DOI	10.1109/CPE.2013.6601121
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-05
Publisher Place	Slovenia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Time-frequency analysis Power Quality (PQ) Higher-Order Statistics (HOS) Power quality Signal processing Spectral Kurtosis (SK) Time-domain analysis Transient analysis Frequency domain analysis Higher order statistics
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

A Dual Monitoring Technique to Detect Power Quality Transients Based on the Fourth-Order Spectrogram

An Application of Spectral Kurtosis to Separate Hybrid Power Quality Events

Power quality disturbances detection using HOS

Detection of underwater transient acoustic signals using time-frequency distributions and higher-order spectra

Sub-harmonics detection and identification using higher order statistics

Classification of power quality disturbances using time/frequency domain features

HOS and CBR measurement system for PQ assessment

Transient Fault Signal Detection Using Wigner Higher-Order Moment Spectra Methods

Adaptive detection and classificaion system for power quality disturbances

Power quality events detection using fourth-order spectra

Similar Documents

A Dual Monitoring Technique to Detect Power Quality Transients Based on the Fourth-Order Spectrogram

An Application of Spectral Kurtosis to Separate Hybrid Power Quality Events

Power quality disturbances detection using HOS

Detection of underwater transient acoustic signals using time-frequency distributions and higher-order spectra

Sub-harmonics detection and identification using higher order statistics

Classification of power quality disturbances using time/frequency domain features

HOS and CBR measurement system for PQ assessment

Transient Fault Signal Detection Using Wigner Higher-Order Moment Spectra Methods

Adaptive detection and classificaion system for power quality disturbances

Power quality events detection using fourth-order spectra