Results 91 to 100 of about 195,711 (268)
Performance Assessment of a Wind Turbine Using SCADA based Gaussian Process Model
International Journal of Prognostics and Health Management, 2018 Loss of wind turbine power production identified through performance assessment is a useful tool for effective condition monitoring of a wind turbine. Power curves describe the nonlinear relationship between power generation and hub height wind speed and
Ravi Kumar Pandit, David Infield
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Regression with Gaussian Processes [PDF]
, 1997 The Bayesian analysis of neural networks is difficult because the prior over functions has a complex form, leading to implementations that either make approximations or use Monte Carlo integration techniques. In this paper I investigate the use of Gaussian process priors over functions, which permit the predictive Bayesian analysis to be carried out ...
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Advanced Engineering Materials, EarlyView.We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
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Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
Advanced Engineering Materials, EarlyView.An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
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Stochastic Wheel-Slip Compensation Based Robot Localization and Mapping
Advances in Electrical and Computer Engineering, 2016 Wheel slip compensation is vital for building accurate and reliable dead reckoning based robot localization and mapping algorithms. This investigation presents stochastic slip compensation scheme for robot localization and mapping.
SIDHARTHAN, R. K. +3 more
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Neutrosophic Gaussian Processes with Bootstrap Hypothesis Testing for Performance Evaluation of Highways Asphalt Pavement [PDF]
Neutrosophic Sets and SystemsHighway agencies must evaluate asphalt pavement performance under heterogeneous evidence: sensor noise, missing records, inconsistent inspections, and conflicting expert opinions.
Haocheng Xiong, Tao Yang
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In Situ Micromechanical Study of Bimodal γ′–γ″ Precipitate Assemblies in Ni–Cr–Al–Nb Superalloy
Advanced Engineering Materials, EarlyView.A Ni–Cr–Al–Nb superalloy with a bimodal γ′–γ″ precipitate distribution is developed. Composite precipitate assemblies form through heterogeneous nucleation, effectively impeding dislocation motion. Micropillar compression reveals high strength at room and elevated temperatures, governed by precipitate shearing, with coupled faulting mechanisms ...
Ujjval Bansal +4 more
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Probing the Cosmic Distance Duality Relation via Non-Parametric Reconstruction for High Redshifts
UniverseWe test the validity of the cosmic distance duality relation (CDDR) by combining angular diameter distance and luminosity distance measurements from recent cosmological observations.
Felipe Avila +6 more
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SCADA based nonparametric models for condition monitoring of a wind turbine
The Journal of Engineering, 2019 High operation and maintenance costs for offshore wind turbines push up the LCOE of offshore wind energy. Unscheduled maintenance due to unanticipated failures is the most prominent driver of the maintenance cost which reinforces the drive towards ...
Ravi Kumar Pandit +2 more
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Regularity of gaussian processes
Acta Mathematica, 1987 The author obtains necessary and sufficient conditions for the continuity or boundedness of a Gaussian process. A (centered) Gaussian process is a family \((X_ t)_{t\in T}\) of real-valued random variables, indexed by some index set T, such that every finite linear combination \(\sum a_ tX_ t\) is a real-valued Gaussian random variable.
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