نتایج جستجو برای: series system

تعداد نتایج: 2512120  

Abbas Riahifar H. Abdollahi M. Matinfar

The introduced method in this study consists of reducing a system of infinite boundary integro-differential equations (IBI-DE) into a system of al- gebraic equations, by expanding the unknown functions, as a series in terms of Laguerre polynomials with unknown coefficients. Properties of these polynomials and operational matrix of integration are rst presented. Finally, two examples illustra...

Journal: :international journal of smart electrical engineering 2014
ghazanfar shahgholian mehdi mahdavian michael noorani kalteh mohammadreza janghorbani

the interline power flow controller (ipfc) is a concept of the facts controller for series compensation which can inject a voltage with controllable magnitude and phase angle among multi lines. this paper proposes a novel ipfc-based damping neuro-control scheme using pso for damping oscil la t i o ns in a power system to improve power system stability. the add i tion of a supplementary controll...

2000
D. Mirri G. Iuculano G. Pasini F. Filicori

This paper describes different solutions, all based on a modified Volterra series, for the characterisation of nonlinear dynamic systems.

2007
Pekka Siirtola Perttu Laurinen Juha Röning

Graphical presentation of long time series signals is challenging because the resolution of a computer screen in pixels is usually smaller than the length of the signal in points. However, visualizing signals at a glance is highly important because analysing data in graphical form can be much more productive than it is in numerical or written form. Visualization of complete signals is possible ...

2007
Paulo S. G. de M. Neto Ricardo de A. Araújo Gustavo G. Petry Tiago A. E. Ferreira Germano C. Vasconcelos Luiz Freire

In this paper, a hybrid swarm system is presented for time series forecasting. It consists of an intelligent hybrid model composed of an Arti cial Neural Network (ANN) and a Particle Swarm Optimizer (PSO), which search the relevant time lags for a correct characterization of the time series, as well as the number of processing units in the hidden layer, the training algorithm and the modeling o...

2007
Jiří Kléma Jan Kout Martin Vejmelka

The paper is focused on the analysis and design of multivariate time series prediction systems. It addresses mainly practical issues, the main contribution is the developed and implemented conceptual predictive methodology. It is based on designed data management structures that define basic data flow. Despite the fact that the methodology is inspired by problems common for utility companies th...

2008
Ammar M. Sarhan A. Mustafa

This paper discusses the reliability equivalences of a parallelseries system. It is assumed that the system components are independent and identical. Each has a constant failure rate. We assumed three different method to improve the system. Both the reliability function and the mean time to failure are used to derive two types of reliability equivalence factors. We also obtain the fractiles of ...

2004
Marinko Stojkov Vladimir Mikuličić Srete Nikolovski

Power system reliability and continuous electric power supply without downtimes or with a few as shorter as possible interruptions are basic for financial success in today's power market (EN50160). So, modern customer oriented relationships and efficient electricity service have to be included in nowadays power system management. Reliability and availability are concept very close to electric p...

2015

A growing trend in industrial automation is to use virtualization technology to combine what were previously discrete subsystems into a single system. The Intel® Industrial Solutions System Consolidation Series greatly simplifies this effort by pre-integrating key virtualization software onto platforms based on 4th generation Intel® CoreTM vProTM processors, thus reducing development time for o...

Journal: :JORS 2011
Q. L. Wei T.-S. Chang

There is an urgent need in a wide range of fields such as logistics and supply chain management to develop effective approaches to measure and/or optimally design a network system comprised of a set of units. Data envelopment analysis (DEA) researchers have been developing network DEA models to measure decision making units’ (DMUs’) network systems. However, to our knowledge, there are no previ...

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