S-transform-based intelligent system for classification of power quality disturbance signals

QR Code

S-transform-based intelligent system for classification of power quality disturbance signals

In this paper, a new approach is presented for the detection and classification of nonstationary signals in power networks by combining the S-transform and neural networks. The S-transform provides frequency-dependent resolution that simultaneously localizes the real and imaginary spectra. The S-tra...

Full description

Bibliographic Details
Main Authors:	Lee, I.W.C., Dash, P.K.
Format:	Article
Language:	English
Published:	2003
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://shdl.mmu.edu.my/2550/ http://shdl.mmu.edu.my/2550/1/1813.pdf

Similar Items

Power quality disturbance data compression, detection, and classification using integrated spline wavelet and S-transform
by: Dash, P.K., et al.
Published: (2003)

Closure on "Multiresolution S-transform-based fuzzy recognition system for power quality events"
by: Chilukuri, M.V., et al.
Published: (2005)

Data compression of power quality events using the slantlet transform
by: Panda, G., et al.
Published: (2002)

Application of Artificial Intelligence Techniques for Classification and Location of Faults on Thyristor-Controlled Series-Compensated Line
by: Dash, PK, et al.
Published: (2003)

Performance of modified s-transform for power quality disturbance detection and classification
by: Mohd Noh, Faridah Hanim, et al.
Published: (2016)

Advances in Signal Processing and Artificial Intelligence Technologies in the Classification of Power Quality Events: A Survey
by: Choong, Florence, et al.
Published: (2005)

Multiresolution S-transform-based fuzzy recognition system for power quality events
by: Chilukuri, M. V., et al.
Published: (2004)

Multiresolution Time-Frequency Analysis For Detection And Classification Of Power Quality Disturbances
by: Chilukuri, Venkata Mahendra
Published: (2009)

Detection of voltage disturbances in power quality using wavelet transforms
by: Ramlee, Nor Asrina
Published: (2012)

Detection and classification of power quality disturbances using discrete wavelet transform and wavelet networks
by: Masoum, Mohammad Sherkat, et al.
Published: (2010)

Detection and classification of power quality disturbances using discrete wavelet transform and wavelet networks
by: Masoum, Mohammad, et al.
Published: (2010)

VHDL Modeling for Classification of Power Quality Disturbance Employing Wavelet Transform, Artificial Neural Network and Fuzzy Logic
by: Reaz, M.B.I., et al.
Published: (2006)

Genetically optimized neuro-fuzzy IPFC for damping modal oscillations of power system
by: Mishra, S., et al.
Published: (2002)

Power quality disturbance magnitude characterization using wavelet transformation analysis part 2 - Application
by: Zin, A.A.M, et al.
Published: (2008)

Power quality disturbance magnitude characterization using wavelet transformation analysis part 1-theory
by: Zin, A.A.M, et al.
Published: (2008)

Feature extraction of power disturbance signal using time frequency analysis
by: Sihab, Norsabrina
Published: (2006)

Fast and accurate estimation of power system frequency for power quality studies
by: Dash, P. K., et al.
Published: (2002)

Power quality analysis using s-transform
by: Dash, P. K., et al.
Published: (2003)

Prototyping of Wavelet Transform, Artificial Neural Network and Fuzzy Logic for Power Quality Disturbance Classifier
by: Reaz, M. B. I., et al.
Published: (2007)

Design of a Nonlinear Variable-Gain Fuzzy Controller for FACTS Devices
by: Dash, P.K., et al.
Published: (2004)

An evaluation of different fast fourier transform - transfer learning pipelines for the classification of wink-based EEG signals
by: Jothi Letchumy, Mahendra Kumar, et al.
Published: (2020)

Expert System for Power Quality Disturbance Classifier
by: Ibne Reaz, Mamun, et al.
Published: (2007)

Damping of multimodal power system oscillations by FACTS devices using non-linear Takagi-Sugeno fuzzy controller
by: Dash, P
Published: (2003)

Rectifier power transformer design by intelligent optimization techniques
by: K.S., Rama Rao, et al.
Published: (2008)

Optimal Parameters of Rectifier Power Transformer by Intelligent Techniques
by: Kondapalli, K. S. Rama Rao, et al.
Published: (2009)

Rectifier Power Transformer Design by Intelligent Optimization Techniques
by: K. S. , Rama Rao, et al.
Published: (2008)

Assessing the impact of anthropogenic disturbances on water quality in the Sungai Nyior, Kuantan
by: Wan Nur Hafeza Haslinda, Wan Hassan
Published: (2017)

Intelligent disturbance rejection for robust tracking performance of X-Y positioning system
by: Raafat, Safanah M., et al.
Published: (2010)

Identification and classification of voltage disturbances in power quality studies using wavelet - fuzzy method / Ahmad Farid Abidin
by: Abidin, Ahmad Farid
Published: (2005)

Design and implementation of a power quality disturbance classifier: An Al approach
by: Reaz, , M. B. I, et al.
Published: (2006)

Robust disturbance rejection control of helicopter system using intelligent identification of uncertainties
by: Raafat, Safanah M., et al.
Published: (2012)

The classification of heartbeat PCG signals via transfer learning
by: Almanifi, Omair Rashed Abdul Wareth, et al.
Published: (2021)

Development of an intelligent system for power quality planning and management
by: Goh, Hui Hwang
Published: (2007)

Application of slantlet transform based support vector machine for power quality detection and classification
by: Mohd Noh, Faridah Hanim, et al.
Published: (2015)

Power quality analysis using spectrogram and gabor transformation
by: Abdullah, Abdul Rahim, et al.
Published: (2007)

Optimal Parameters of Rectifier Power Transformer by Intelligent Techniques
by: K.S., Rama Rao, et al.
Published: (2009)

Bilinear Time-Frequency Analysis Techniques for Power Quality Signals
by: Abdullah, Abdul Rahim, et al.
Published: (2012)

The classification of EEG-based wink signals: A CWT-Transfer Learning pipeline
by: Jothi Letchumy, Mahendra Kumar, et al.
Published: (2021)

Damage classification in reinforced concrete beam by acoustic emission signal analysis
by: Shahidan, Shahiron
Published: (2014)

Development Of An Intelligent System For River Water Quality Classification Based On Algae Composition
by: Fong, Wai Mei
Published: (2006)