Power and Energy
Schematic diagram to illustrate the separation and identification of nonlinear flow characteristics for the proposed method. Due to a fact that steam turbines and generators have different dynamic characteristics at different operating points, the static nonlinear flow characteristic (e.g., yellow solid lines in (a)) is overwhelmed by input and output data with dynamic characteristics, such as the blue dots in (a) and their corresponding time series are shown in (b). The key to identifying the nonlinear flow characteristic is to separate it from the linear dynamic submodels at different ope
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The test data of P118H39 system
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The test data of P57H22
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The test data of P57H22 system
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P57H22
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This is the data of an innovative microstepping motor controller with excitation angular current double-loop feedback control (ACDL), and compared with the data of a conventional stepper motor controller (OP) and angle closed-loop control (AL).
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The mainstream battery pack voltages of electric vehicles (EVs) range from 200 V to 500 V. Compared with these conventional 400-V battery packs, 800-V EVs have smaller cables, higher charging power, and a longer range. Although existing literature has overcome the drawbacks caused by one or two parameter variations in a 400-V EV WPT system, few works discuss the Z classes, output voltages, and output power levels simultaneously.
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When fuel materials for high-temperature gas-cooled nuclear reactors are quantification tested, significant analysis is required to establish their stability under various proposed accident scenarios, as well as to assess degradation over time. Typically, samples are examined by lab assistants trained to capture micrograph images used to analyze the degradation of a material. Analysis of these micrographs still require manual intervention which is time-consuming and can introduce human-error.
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