89,765 research outputs found
Advanced Testing Chain Supporting the Validation of Smart Grid Systems and Technologies
New testing and development procedures and methods are needed to address
topics like power system stability, operation and control in the context of
grid integration of rapidly developing smart grid technologies. In this
context, individual testing of units and components has to be reconsidered and
appropriate testing procedures and methods need to be described and
implemented. This paper addresses these needs by proposing a holistic and
enhanced testing methodology that integrates simulation/software- and
hardware-based testing infrastructure. This approach presents the advantage of
a testing environment, which is very close to f i eld testing, includes the
grid dynamic behavior feedback and is risks-free for the power system, for the
equipment under test and for the personnel executing the tests. Furthermore,
this paper gives an overview of successful implementation of the proposed
testing approach within different testing infrastructure available at the
premises of different research institutes in Europe.Comment: 2018 IEEE Workshop on Complexity in Engineering (COMPENG
A virtual environment to support the distributed design of large made-to-order products
An overview of a virtual design environment (virtual platform) developed as part of the European Commission funded VRShips-ROPAX (VRS) project is presented. The main objectives for the development of the virtual platform are described, followed by the discussion of the techniques chosen to address the objectives, and finally a description of a use-case for the platform. Whilst the focus of the VRS virtual platform was to facilitate the design of ROPAX (roll-on passengers and cargo) vessels, the components within the platform are entirely generic and may be applied to the distributed design of any type of vessel, or other complex made-to-order products
Intelligent systems in manufacturing: current developments and future prospects
Global competition and rapidly changing customer requirements are demanding increasing changes in manufacturing environments. Enterprises are required to constantly redesign their products and continuously reconfigure their manufacturing systems. Traditional approaches to manufacturing systems do not fully satisfy this new situation. Many authors have proposed that artificial intelligence will bring the flexibility and efficiency needed by manufacturing systems. This paper is a review of artificial intelligence techniques used in manufacturing systems. The paper first defines the components of a simplified intelligent manufacturing systems (IMS), the different Artificial Intelligence (AI) techniques to be considered and then shows how these AI techniques are used for the components of IMS
CERN openlab Whitepaper on Future IT Challenges in Scientific Research
This whitepaper describes the major IT challenges in scientific research at CERN and several other European and international research laboratories and projects. Each challenge is exemplified through a set of concrete use cases drawn from the requirements of large-scale scientific programs. The paper is based on contributions from many researchers and IT experts of the participating laboratories and also input from the existing CERN openlab industrial sponsors. The views expressed in this document are those of the individual contributors and do not necessarily reflect the view of their organisations and/or affiliates
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