The Experts below are selected from a list of 174126 Experts worldwide ranked by ideXlab platform
Poul Ejnar Sorensen - One of the best experts on this subject based on the ideXlab platform.
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aspects of relevance in offshore wind farm Reliability Assessment
IEEE Transactions on Energy Conversion, 2007Co-Authors: Nicola Barberis Negra, O Holmstrom, Birgitte Bakjensen, Poul Ejnar SorensenAbstract:The worldwide increase of installed wind power capacity demands the inclusion of wind farm (WF) models into power system Reliability Assessment. This paper looks at this issue from available literature, and presents a list of factors that highly influence offshore WF generation. An example of sequential Monte Carlo simulation applied to an offshore WF is described using a new synthetic wind-speed generator. The simulation includes some of the Reliability factors highlighted in the paper and their influence on Reliability Assessment
Mario Russo - One of the best experts on this subject based on the ideXlab platform.
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Wind farm modelling for Reliability Assessment
IET Renewable Power Generation, 2008Co-Authors: A. R. Di Fazio, Mario RussoAbstract:Increasing exploitation of wind energy requires the development of adequate models and techniques for Reliability Assessment of wind farms (WFs) and of electric power systems including wind energy conversion systems. A novel approach to WF modelling is investigated for Reliability Assessment, which is based on the universal generating functions. Such an approach combines the use of the z-transform and composition operators, allowing to account for all the factors affecting the WF performance. The results, both theoretical and numerical, of the case study, give evidence of the effectiveness of the proposed approach in terms of accuracy as well as of flexibility and efficiency of the solving algorithm.
Nicola Barberis Negra - One of the best experts on this subject based on the ideXlab platform.
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aspects of relevance in offshore wind farm Reliability Assessment
IEEE Transactions on Energy Conversion, 2007Co-Authors: Nicola Barberis Negra, O Holmstrom, Birgitte Bakjensen, Poul Ejnar SorensenAbstract:The worldwide increase of installed wind power capacity demands the inclusion of wind farm (WF) models into power system Reliability Assessment. This paper looks at this issue from available literature, and presents a list of factors that highly influence offshore WF generation. An example of sequential Monte Carlo simulation applied to an offshore WF is described using a new synthetic wind-speed generator. The simulation includes some of the Reliability factors highlighted in the paper and their influence on Reliability Assessment
Shigeru Yamada - One of the best experts on this subject based on the ideXlab platform.
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Comparison of Software Reliability Assessment Methods for Open Source Software and Reliability Assessment Tool
Journal of Computer Science, 2006Co-Authors: Yoshinobu Tamura, Shigeru YamadaAbstract:We propose software Reliability Assessment methods for concurrent distributed system development by using the Analytic Hierarchy Process. Also, we make a comparison between the inflection S-shaped software Reliability growth model and the other models based on a nonhomogeneous Poisson process applied to Reliability Assessment of the entire system composed of several software components. Moreover, we analyze software fault count data to show numerical examples of software Reliability Assessment for the open source project. Furthermore, we investigate an efficient software Reliability Assessment method for the open source system development. Also, we develop the software testing-management tool for open source software system by using Java programming language. We show several performance examples of the software testing-management tool for the open source software.
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A Software Reliability Assessment Tool for Distributed Software Development Projects
OPSEARCH, 2005Co-Authors: Yoshinobu Tamura, Shigeru YamadaAbstract:At present, software development environment has been changing into new development paradigm. Moreover, a software development paradigm based on an open source project is rapidly spreading. In this paper, we propose a software Reliability Assessment tool incorporating flexible software Reliability growth models based on a nonhomogeneous Poisson process and stochastic differential equations for distributed development environment by using Java programming language. Especially, we incorporate the method of Reliability Assessment for open source software development into the software Reliability Assessment tool. Also, we analyze actual software fault count data to show numerical examples of software Reliability Assessment for the open source project by using the tool.
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Reliability Assessment Measurement for Redundant Software Systems
Lecture Notes in Economics and Mathematical Systems, 1991Co-Authors: Jun Hishitani, Shigeru Yamada, Shunji OsakiAbstract:It is important to make a software system more reliable. We discuss Reliability Assessment for redundant software systems developed by multiversion programming, i.e., N-version programming and recovery blocks systems, during the operation phase. In this paper, the Reliability Assessment measures such as software Reliability function, hazard rate function, and MTTF (mean time to failure) are obtained by using two software Reliability growth models, i.e., Jelinski-Moranda and NHPP models. Also the results of Reliability Assessment based on the two software Reliability growth models are numerically compared for each redundant software system.
A. R. Di Fazio - One of the best experts on this subject based on the ideXlab platform.
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Wind farm modelling for Reliability Assessment
IET Renewable Power Generation, 2008Co-Authors: A. R. Di Fazio, Mario RussoAbstract:Increasing exploitation of wind energy requires the development of adequate models and techniques for Reliability Assessment of wind farms (WFs) and of electric power systems including wind energy conversion systems. A novel approach to WF modelling is investigated for Reliability Assessment, which is based on the universal generating functions. Such an approach combines the use of the z-transform and composition operators, allowing to account for all the factors affecting the WF performance. The results, both theoretical and numerical, of the case study, give evidence of the effectiveness of the proposed approach in terms of accuracy as well as of flexibility and efficiency of the solving algorithm.
