Hyperbolic window S-transform aided Deep Neural Network model-based Power Quality monitoring framework in Electrical Power System

2021 ◽  
pp. 1-1
Author(s):  
Kiron Nandi ◽  
Arup Kumar Das ◽  
Riddhi Ghosh ◽  
Sovan Dalai ◽  
Biswendu Chatterjee
Keyword(s):  
Neural Network ◽  
Power Quality ◽  
Neural Network Model ◽  
Deep Neural Network ◽  
Electrical Power ◽  
Quality Monitoring ◽  
Electrical Power System ◽  
Power Quality Monitoring ◽  
S Transform ◽  
Monitoring Framework

scholarly journals POWER QUALITY ANALYSIS BY THE RIPPLE TECHNIQUE

2017 ◽  
Vol 2 (4) ◽  
pp. 227 ◽  
Author(s):  
Amam Hossain Bagdadee
Keyword(s):  
Power System ◽  
Power Quality ◽  
Electrical Power ◽  
Quality Monitoring ◽  
Quality Analysis ◽  
Electrical Power System ◽  
Power Quality Monitoring ◽  
Power Quality Analysis ◽  
Institute Of Technology

Characteristics of Power quality has been with us since the inception of the electrical Power system. However, the topic of power quality has attracted particular attention in recent years due to the increase of electronically controlled. Power quality problems caused disruptions to electrical or electronic equipment and the resulting consequences are very expensive. Ripple techniques will be studied in this paper for analysing power quality monitoring. In the case study based on the measurement of the site of the Asian Institute of Technology (AIT) and it was examined using the proposed ripple technique.

scholarly journals Power Quality Monitoring and Disturbances Classification based on Autoencoder and Neural Network for Electrical Power Supply

2020 ◽  
Vol 18 ◽  
pp. 261-265
Author(s):  
A.D. Gonzalez-Abreu ◽  
◽  
V. Martínez Viol ◽  
M. Delgado Prieto ◽  
J.J. Saucedo-Dorantes ◽  
...  
Keyword(s):  
Neural Network ◽  
Power Quality ◽  
Power Supply ◽  
Electrical Power ◽  
Quality Monitoring ◽  
Power Quality Monitoring

Power System Disturbance Recognition Using Wavelet and S-Transform Techniques

2004 ◽  
Vol 1 (2) ◽  
Author(s):  
Jaya Bharata Reddy ◽  
Dusmanta Kumar Mohanta ◽  
B.M. Karan
Keyword(s):  
Wavelet Transform ◽  
Power System ◽  
Power Quality ◽  
A Priori ◽  
Electrical Power ◽  
Quality Analysis ◽  
Discrete Wavelet ◽  
Electrical Power System ◽  
Window Width ◽  
S Transform

Power quality issues have been a source of major concern in recent years due to extensive use of power electronic devices and non-linear loads in electrical power system and consequently sensitive detection and accurate classification of power disturbances have become very much necessary. To monitor electrical power quality disturbances, short time discrete Fourier transform (STFT) is most often used. But for non- stationary signals, the STFT does not track the signal dynamics properly due to the limitations of a fixed window width chosen a priori. This paper presents a new approach for power quality analysis using a modified wavelet transform, known as S–transform and the analysis of several power quality problems using both S–transform as well as discrete wavelet transform validates the superiority of S–transform.

Reconfigurable instrument for neural-network-based power-quality monitoring in 3-phase power systems

2013 ◽  
Vol 7 (12) ◽  
pp. 1498-1507 ◽  
Author(s):  
Martin Valtierra-Rodriguez ◽  
Arturo Garcia-Perez ◽  
Rene de J. Romero-Troncoso ◽  
David Granados-Lieberman ◽  
Roque A. Osornio-Rios
Keyword(s):  
Neural Network ◽  
Power Systems ◽  
Power Quality ◽  
Quality Monitoring ◽  
Power Quality Monitoring

Improvement of power quality monitoring based on modified S-transform

2016 ◽  
Author(s):  
Anissa Eka Marini Pujiantara ◽  
Ardyono Priyadi ◽  
Margo Pujiantara ◽  
Ontoseno Penangsang ◽  
Dimas Okky Anggriawan ◽  
...  
Keyword(s):  
Power Quality ◽  
Quality Monitoring ◽  
Power Quality Monitoring ◽  
S Transform
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