A spatio-temporal processing Padé approach for visualizing harmonic distortion propagation on electrical networks

2022 ◽  
Vol 203 ◽  
pp. 107643
Author(s):  
Ramón J. Betancourt ◽  
Emilio Barocio ◽  
Carlos M. Rergis ◽  
Juan M González-López ◽  
Antonio Concha Sánchez
Keyword(s):  
Temporal Processing ◽  
Harmonic Distortion ◽  
Electrical Networks ◽  
Spatio Temporal

scholarly journals Energy current and computing

2018 ◽  
Vol 376 (2134) ◽  
pp. 20170449 ◽  
Author(s):  
Alex Yakovlev
Keyword(s):  
Digital Circuit ◽  
Electrical Networks ◽  
Mathematical Methods ◽  
Power Sources ◽  
Energy Current ◽  
Energy Flows ◽  
State Changes ◽  
Spatio Temporal ◽  
Computational Circuits ◽  
Physical Phenomena

In his seminal Electrical papers , Oliver Heaviside stated ‘We reverse this …' referring to the relationship between energy current and state changes in electrical networks. We explore implications of Heaviside's view upon the state changes in electronic circuits, effectively constituting computational processes. Our vision about energy-modulated computing that can be applicable for electronic systems with energy harvesting is introduced. Examples of analysis of computational circuits as loads on power sources are presented. We also draw inspiration from Heaviside's way of using and advancing mathematical methods from the needs of natural physical phenomena. A vivid example of Heavisidian approach to the use of mathematics is in employing series where they emerge out of the spatio-temporal view upon energy flows. Using series expressions, and types of natural discretization in space and time, we explain the processes of discharging a capacitive transmission line, first, through a constant resistor and, second, through a voltage controlled digital circuit. We show that event-based models, such as Petri nets with an explicit notion of causality inherent in them, can be instrumental in creating bridges between electromagnetics and computing. This article is part of the theme issue ‘Celebrating 125 years of Oliver Heaviside's ‘Electromagnetic Theory’’.

scholarly journals The Why of Adaptive Protections in Modern Electrical Networks

2019 ◽  
Vol 39 (2) ◽  
Author(s):  
Juan Martín Guardiola Montenegro ◽  
Eduardo Gómez Luna ◽  
Eduardo Marlés Sáenz ◽  
Jorge Armando De la Cruz Saavedra
Keyword(s):  
Renewable Energy ◽  
Distributed Generation ◽  
Renewable Resources ◽  
Harmonic Distortion ◽  
Distribution Networks ◽  
Electrical Networks ◽  
Dynamic Changes ◽  
Interconnected System ◽  
Electric System ◽  
Micro Grids

Electrical networks are evolving and taking on more challenges as the inclusion of renewable energy and distributed generation units increase, specially at distribution levels. Big trends of generating electricity with alternative and renewable resources has promoted the formation of distribution networks subsystems or micro grids, capable of supplying their own electric demand and to export energy to the interconnected system, if necessary. However, the effects of these generation units into the network and into the microgrid as well are many, as harmonic distortion, voltage flickers and especially in electrical protections.This paper provides an overview about implementation of renewable energy and distributed generation worldwide, as well as an introduction to microgrids concept and its main impacts and challenges into the electric systems. Finally, the main impacts of microgrid on protection equipments are presented at a distribution level, being adaptive protections one of the solutions to the dynamic changes of the electric system.

scholarly journals Spatio-Temporal Processing for Automatic Vehicle Detection in Wide-Area Aerial Video

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 199562-199572
Author(s):  
Xin Gao ◽  
Jeno Szep ◽  
Pratik Satam ◽  
Salim Hariri ◽  
Sundaresh Ram ◽  
...  
Keyword(s):  
Temporal Processing ◽  
Vehicle Detection ◽  
Wide Area ◽  
Spatio Temporal ◽  
Aerial Video

SPEAKER IDENTIFICATION USING TIME-DELAY HMEs

1996 ◽  
Vol 07 (01) ◽  
pp. 29-43 ◽  
Author(s):  
KE CHEN ◽  
DAHONG XIE ◽  
HUISHENG CHI
Keyword(s):  
Time Delay ◽  
Temporal Processing ◽  
Speaker Identification ◽  
Identification System ◽  
Multiple Time ◽  
Training Time ◽  
Fast Training ◽  
Substantial Problem ◽  
Spatio Temporal ◽  
Hierarchical Mixture Of Experts

In this paper, we extend the Hierarchical Mixture of Experts (HME) to temporal processing and explore it for a substantial problem, that of text-dependent speaker identification. For a specific multiway classification, we propose a generalized Bernoulli density instead of the multinomial logit density to avoid the instability during training. Time-delay technique is applied for spatio-temporal processing in the HME and a combining scheme is presented for combining multiple time-delay HMEs in order to complete a multi-scale analysis for the temporal data. Using the time-delay HME along with the EM algorithm as well as the combination of multiple time-delay HMEs, the speaker identification system has a good performance and yields significantly fast training. We have also addressed some issues about the time-delay techniques in the HME.

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