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Published in 2018 at "Applied Thermal Engineering"
DOI: 10.1016/j.applthermaleng.2018.04.001
Abstract: Abstract An accurate model is very important for thermal prediction and thermal management of airborne electronic module. Thermal Network Model (TNM) is the commonly used to analyze transient thermal response. It cannot describe the nonlinear…
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Keywords:
method;
equipment cabin;
electronic equipment;
temperature prediction ... See more keywords
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Published in 2022 at "ACS Omega"
DOI: 10.1021/acsomega.2c00615
Abstract: Flexible operation of large-scale boilers for electricity generation is essential in modern power systems. An accurate prediction of boiler steam temperature is of great importance to the operational efficiency of boiler units to prevent the…
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Keywords:
temperature;
temperature prediction;
steam temperature;
dense residual ... See more keywords
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Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3123644
Abstract: Conventionalpermanent magnet (PM) machine temperature assessment approaches require physical, material, and loss distribution information. In practice, accurate structural information is rarely available, a lot of thermal parameters can only be calibrated based on extensive experiments,…
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Keywords:
machine;
online temperature;
temperature;
temperature prediction ... See more keywords
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Published in 2021 at "Mathematical Problems in Engineering"
DOI: 10.1155/2021/1776805
Abstract: Icing disasters on power grid transmission lines can easily lead to major accidents, such as wire breakage and tower overturning, that endanger the safe operation of the power grid. Short-term prediction of transmission line icing…
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Keywords:
temperature;
feature selection;
prediction model;
temperature prediction ... See more keywords
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Published in 2018 at "Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture"
DOI: 10.1177/0954405418815365
Abstract: The grinding heat is generally partitioned into the workpiece, wheel, chips and fluid in grinding process. The total amount of heat flux entering into the workpiece greatly affects the final workpiece surface temperature, which may…
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Keywords:
temperature;
dry wet;
model;
temperature prediction ... See more keywords
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Published in 2023 at "Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering"
DOI: 10.1177/09544070231174118
Abstract: Reliable and precise temperature prediction is one of the most crucial challenges for improving battery performance and preventing thermal runaway. This paper uses a highly adaptive Elman neural network (Elman-NN) to construct a temperature prediction…
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Keywords:
neural network;
elman neural;
temperature;
temperature prediction ... See more keywords
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Published in 2021 at "Sustainability"
DOI: 10.3390/su13105672
Abstract: A novel model is established to predict the temperature field in the horizontal wellbore during CO2 fracturing. The pressure work and viscous dissipation are considered, and the transient energy, mass and momentum equations as well…
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Keywords:
co2 fracturing;
investigation wellbore;
temperature;
numerical investigation ... See more keywords
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Published in 2022 at "Symmetry"
DOI: 10.3390/sym14112470
Abstract: To address the problem that traditional models are not effective in predicting atmospheric temperature, this paper proposes an atmospheric temperature prediction model based on symmetric BiLSTM (bidirectional long short-term memory)-Attention model. Firstly, the meteorological data…
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Keywords:
atmospheric temperature;
temperature;
temperature prediction;
prediction ... See more keywords
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Published in 2021 at "Hydrology and Earth System Sciences"
DOI: 10.5194/hess-25-2951-2021
Abstract: Abstract. Water temperature in rivers is a crucial environmental factor with the ability to alter hydro-ecological as well as socio-economic conditions within a catchment. The development of modelling concepts for predicting river water temperature is…
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Keywords:
water;
water temperature;
temperature;
machine learning ... See more keywords