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A plug-in hybrid, like a traditional hybrid-electric vehicle, has a gasoline motor and electric motor working in tandem to power the vehicle.
Ultrasonic motor working with coupled in-plane and out-of-plane vibration modes of rectangular plate is proposed and experimentally investigated.
A group of characteristic parameters is used to recognise driving patterns and the engine and motor working points are optimised globally by distributed genetic algorithm off-line.
High quality MEG data will be collected from 50 twin pairs both in the resting state and during performance of motor, working memory and language tasks.
In particular, those networks' behavior patterns are distinct across HCP tasks such as motor, working memory, language and social tasks, and their dynamics well correspond to the temporal changes of specific task designs.
The reason of Fig. 4's result is that considering ({R_{mathrm{a}}}) and ({R_{mathrm{h}}}) needs more electrical energy than that of only considering ({R_{mathrm{a}}}), when the motor working at a same combination of torque and velocity.
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The motor worked!
During self-balancing tasks, the motor works mainly with transient response due to the high system instability.
In this way the motor worked like a dynamic brake (generator) and the encoder dissipated the braking energy in the regenerative resistor.
The results represent the first insights into how this motor works, and the experiments are "very difficult" to do, says bioengineer Carlo Montemagno of the University of California, Los Angeles.
The Artificial Neural Networks (ANN), Support Vector Machines (SVM), and k Nearest Neighbor (kNN) classification algorithms are employed to predict if the motor works healthily based on the selected features and, if not, what kind of faults is in the engine.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com