Výsledky vyhledávání - "Probability Density Function (PDF)"

A decoupled approach for determination of the joint probability density function of a high-dimensional nonlinear stochastic dynamical system via the probability density evolution method Autor Lyu, Meng-Ze, Feng, De-Cheng, Chen, Jian-Bing, Li, Jie

“…The joint probability density function (PDF) of multiple response processes of a system is a crucial topic in the fields of science and engineering. It is…”
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Reliability, Availability and Maintainability Analysis for Grid-Connected Solar Photovoltaic Systems Autor Sayed, A., El-Shimy, M., El-Metwally, M., Elshahed, M.

“…Recently, solar power generation is significantly contributed to growing renewable sources of electricity all over the world. The reliability and availability…”
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Variability of stress-strain relationship for recycled aggregate concrete under uniaxial compression loading Autor Xiao, Jianzhuang, Zhang, Kaijian, Akbarnezhad, Ali

“…Uniaxial compression loading tests were carried out to investigate the variability in stress-strain relationship of recycled aggregate concrete (RAC) due to…”
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Comparison of wind characteristics in different directions of deep-cut gorges based on field measurements Autor Zhang, Jinxiang, Zhang, Mingjin, Li, Yongle, Jiang, Fanying, Wu, Lianhuo, Guo, Deping

“…Long-span bridges are strongly sensitive to wind, and it is important to accurately assess the wind field of bridge sites. Thus, to strengthen the…”
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Influence of the chemical kinetics on the prediction of turbulent non-premixed jet CH $$_4$$flames Autor Yu, Chunkan, Cai, Liming, Chopra, Lovish, Minuzzi, Felipe, Maas, Ulrich

“…The present work focuses on the five different chemical mechanisms coupled with probability density function (PDF) model to represent the local extinction and…”
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State of health estimation of lithium-ion batteries based on the regional frequency Autor Huang, Shaotang, Liu, Cuicui, Sun, Huiqin, Liao, Qiangqiang

“…The state of health (SOH) estimation of lithium-ion batteries at low data sampling frequencies has important practical significance in engineering application…”
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Estimating the state of health of lithium-ion batteries based on a probability density function Autor Lin, Zhicheng, Cai, Yongxiang, Liu, Wei, Bao, Chuang, Shen, Jianjia, Liao, Qiangqiang

“…Accurate estimation of the state of health (SOH) of lithium-ion batteries is important to ensure safe operation. Although SOH models that extract health…”
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Elucidating the complexity of stress interactions in polymer-coated granular materials via copula-based probabilistic dependence configurations Autor Liu, De-Yun, Wang, Ci, Lyu, Meng-Ze

“…Coated granular materials, whether naturally occurring or synthetically produced in laboratories, offers substantial potential for various engineering…”
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Transfer Learning Featured Short-Term Combining Forecasting Model for Residential Loads With Small Sample Sets Autor Zhang, Zhenyuan, Zhao, Pengfei, Wang, Peng, Lee, Wei-Jen

“…In recent years, a large variety of short-term load forecasting methodologies have been proposed, but a common drawback of them is that require a large amount…”
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A Versatile Probability Distribution Model for Wind Power Forecast Errors and Its Application in Economic Dispatch Autor Zhao-Sui Zhang, Yuan-Zhang Sun, Gao, David Wenzhong, Jin Lin, Lin Cheng

“…The existence of wind power forecast errors is one of the most challenging issues for wind power system operation. It is difficult to find a reasonable method…”
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Advanced Deep Learning Approach for Probabilistic Wind Speed Forecasting Autor Afrasiabi, Mousa, Mohammadi, Mohammad, Rastegar, Mohammad, Afrasiabi, Shahabodin

“…One of the critical challenges in wind energy development is the uncertainty quantification. Prior knowledge about the wind speed in look-ahead times in shape…”
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EMD interval thresholding denoising based on similarity measure to select relevant modes Autor Yang, Gongliu, Liu, Yuanyuan, Wang, Yanyong, Zhu, Zhanlong

“…This paper introduces a novel EMD interval thresholding (EMD-IT) denoising, where relevant modes are selected using a l2-norm measure between the probability…”
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Machine learning tabulation of thermochemistry in turbulent combustion: An approach based on hybrid flamelet/random data and multiple multilayer perceptrons Autor Ding, Tianjie, Readshaw, Thomas, Rigopoulos, Stelios, Jones, W.P.

“…A new machine learning methodology is proposed for speeding up thermochemistry computations in simulations of turbulent combustion. The approach is suited to a…”
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High-efficient non-iterative reliability-based design optimization based on the design space virtually conditionalized reliability evaluation method Autor Lyu, Meng-Ze, Yang, Jia-Shu, Chen, Jian-Bing, Li, Jie

“…•An efficient non-iterative approach proposed for RBDO.•Virtually conditional reliability evaluation method to determine feasible domain.•Decoupled…”
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Dimension-reduced Chapman-Kolmogorov equation for high-dimensional stochastic dynamical systems Autor Chen, Jianbing, Lyu, Meng-Ze, Zhang, Shenghan

“…Random vibration analysis of high-dimensional dynamical systems is a fundamental problem in science and engineering, yet it remains challenging due to the…”
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A New Hybrid Fault Detection Method for Wind Turbine Blades Using Recursive PCA and Wavelet-Based PDF Autor Rezamand, Milad, Kordestani, Mojtaba, Carriveau, Rupp, Ting, David S.-K., Saif, Mehrdad

“…This paper introduces a new condition monitoring approach for extracting fault signatures in wind turbine blades by utilizing the data from a real-time…”
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A pdf-Free Change Detection Test Based on Density Difference Estimation Autor Li Bu, Alippi, Cesare, Dongbin Zhao

“…The ability to detect online changes in stationarity or time variance in a data stream is a hot research topic with striking implications. In this paper, we…”
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Probabilistic Analysis of Strength in Retrofitted X-Joints under Tensile Loading and Fire Conditions Autor Nassiraei, Hossein

“…In the present study, a total of 360 FE analyses were carried out on tubular X-joints strengthened with collar plates under brace tension under laboratory…”
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RBF NN-Enabled Adaptive Filter for Any Type of Noise Autor Li, Min, Zhao, Yunlong, Wang, Qizhen, Gao, Hanlin, Wang, Gang

“…The brief proposes a radial basis function (RBF) neural network (NN)-enabled adaptive filter (AF) algorithm, which consists of two stages. The first stage is a…”
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Assessing the probability density function of urban wind-induced risk under typhoon conditions Autor Chu, Ruoping, Wang, Xiaoxue, Peng, Lei, Hang, Jian, Aktas, Yasemin D., Wang, Kai

“…•ELES with Weibull fitting performed well in assessing extreme wind and wind risk.•Locally, time-averaged wind doubled and 1 % gust tripled under typhoon…”
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