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Therefore, in this article we propose a feature learning model for condition monitoring based on convolutional neural networks.
Thus, this study presents a novel fault detection model based on kernel independent component analysis and principal component analysis (KICA PCA) monitoring model for condition process of HGU.
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We have solved the model for conditions that could be relevant for integration of the reactor in a power process with CO2 capture.
The precipitation hardening component of yield strength is modeled for conditions where precipitates act as either strong or weak obstacles.
The formation of condensed phase is modeled for conditions when the homogeneous nucleation of gaseous Al2O3 species, processes of condensation/evaporation and coagulation of particles are taken into account.
The FFRCT is modeled for conditions of adenosine-induced hyperemia without adenosine infusion.
The decomposition was modeled for conditions typical of southern Finland, where the basic parameter set of the model was determined (Liski and others 2005).
The ion drift time and IMS resolving power have been modeled for conditions of an initial experimental study for ions of m/ z 922.
Much of the work to date has focused on disease-specific models for conditions such as heart failure, which though the most common reason for admission, still only comprise a few percent of all hospitalizations.
The optimal model for each condition, including the path strengths between the tested variables were determined by first testing separately either level of each condition (lesion, drug treatment and anxiety level).
The posterior five gill arches of more primitive sharks, however, are a good model for the condition in the ancestral jawless fishes.
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