Results 31 to 40 of about 134,154 (295)
Applied SciencesThis article presents the concept of building a discrete event simulation model of a production system in terms of statistical and probabilistic models, which is based on a fragment of a broader production process in the furniture industry.
Damian Kolny, Robert Drobina
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Research on Transformer Fault Based on Probabilistic Neural Network
MATEC Web of Conferences, 2015 With the development of computer science and technology, and increasingly intelligent industrial production, the application of big data in industry also advances rapidly, and the development of artificial intelligence in the aspect of fault diagnosis is
Li Yingshun, Li Jingjing, Han Junfeng
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Solving Stochastic Machining Economics Problem Using Simulation Optimization Approach
Journal of King Saud University: Engineering Sciences, 2010 The emerging of simulation and optimization approaches achieves a rapid growth in recent years. In this paper, the new concept of simulation optimization is applied to solve machining economic problem with stochastic tool life for turning operations. The
Abdulrahman M. Al-Ahmari
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Shanghai Jiaotong Daxue xuebaoThe uncertainty of wind power output and the difficulty of power storage restrict the development of new energy. As a high-quality secondary energy, hydrogen energy is green and pollution-free and has a high energy density.
FAN Hong, XING Mengqing, WANG Lankun, TIAN Shuxin
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Production forecast for niger delta oil rim synthetic reservoirs
Data in Brief, 2018 The data sets in this article are related to a Placket Burman (PB) design of experiment (DOE) made on a wider range of uncertainties such as: reservoir, operational and reservoir architecture parameters that affect oil rim productivities.
Oluwasanmi A. Olabode +4 more
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Uncertainty Analysis of the Adequacy Assessment Model of a Distributed Generation System [PDF]
, 2012 Due to the inherent aleatory uncertainties in renewable generators, the reliability/adequacy assessments of distributed generation (DG) systems have been particularly focused on the probabilistic modeling of random behaviors, given sufficient informative
Li, Yanfu, Zio, Enrico
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Invertible networks or partons to detector and back again
SciPost Physics, 2020 For simulations where the forward and the inverse directions have a physics meaning, invertible neural networks are especially useful. A conditional INN can invert a detector simulation in terms of high-level observables, specifically for ZW production ...
Marco Bellagente, Anja Butter, Gregor Kasieczka, Tilman Plehn, Armand Rousselot, Ramon Winterhalder, Lynton Ardizzone, Ullrich Köthe
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A Numerical Simulation Approach for Shale Fracture Network Characterization Using Hybrid EDFM Method
Lithosphere, 2022 Efficient and economical production in shale reservoirs requires specific knowledge and techniques to characterize the fracture network, which consists of both the large hydraulic fractures and the natural fractures.
Yu Jiang +2 more
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An Analytical Model to Evaluate the Effects of Wind Turbine Parameters and the Probabilistic Characteristic of Wind Speed on the Average LMP of the Power Market [PDF]
مجله مدل سازی در مهندسی, 2020 With the increase of wind penetration in the power systems, analysis of the probabilistic production on the market prices becomes more essential. Researches in this field are often focused on the simulation tools and analytical modeling is rarely used ...
Elahe Zakikhani +2 more
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Formal Verification of Probabilistic SystemC Models with Statistical Model Checking
, 2017 Transaction-level modeling with SystemC has been very successful in describing the behavior of embedded systems by providing high-level executable models, in which many of them have inherent probabilistic behaviors, e.g., random data and unreliable ...
Legay, Axel, Ngo, Van Chan
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