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In order to obtain empirical data from the prototype, corner detection and corridor detection were performed in a real-life scenario.
The final part of this work reports the application of the proposed approach for classification of an emulated fault transient in data from the prototype Pebble Bed Micro Model (PBMM) plant.
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Data taken from the prototype engine have been used to correct the values of some factors in the numerical model.
The aerodynamic mechanism of the LWG power generation is elucidated using computational fluid dynamic (CFD) simulations, and the results are validated against the experimental data obtained from the prototype wind tunnel tests.
Initial data obtained from the prototype unit indicates that this instrument compares with commercial instrumentation in terms of detection limit and sensitivity.
Results from simulated data from the PAMELA prototype calorimeter will be shown.
The application of the proposed h s graph approach (both methods) is specifically illustrated for classification of an emulated fault transient in data from the real prototype Pebble Bed Micro Model (PBMM) plant.
Simulations matched well with experimental data from the new prototype after parametric adjustments were made to the thermal capacitance of the room and conductances between evaporators and condensers, storage tank and room, solar wall insulation, and the load to collector ratio.
Toyota engineers are collecting data from all the prototypes running around the world in an attempt determine what range would be appropriate for most drivers.
This study includes the performance tests using experimental data from the Peugeot 307 prototype vehicle developed by IFSTTAR Laboratory.
The computational predictions were validated with experimental data from a prototype based on the new design.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com