Sentence examples for train generator from inspiring English sources

It is found the that modified iso duration current pulse generator has produced better surface quality with higher material removal rate than the conventional transistor pulse train generator.

An experimental performance evaluation has been conducted with conventional transistor pulse train generator and modified iso current pulse generator by Taguchi L27 orthogonal array design.

A train generator (model: Digitimer, Welwyn, Garden City, Hertfordshire, UK) was then switched on, triggering the delivery of 35 Hz current in bouts of three seconds periods separated by one second pause for a total of 40 tetanic contractions corresponding to 15 contractions per minute.

Thus the end goal of training has to be to arrive at an equilibrium, whereby the trained generator is the best response to the trained discriminator and vice versa.

For the voiced part, the excitation pulse of the LPC-10 coder is used as the pulse-train generator [28].

(This training is completely analogous to standard deep net training, where a deep net could, for instance, be trained to distinguish between pictures of cats and humans). While such a discriminator is being trained, the generator deep net is trained alongside to produce outputs that cause the discriminator to output a high value.

The parameters sensitivities of drive train and generator to the voltage flicker attenuation effect are analyzed and discussed in the paper.

The results highlight the importance of the drive train and generator resistive torque which delays the starting of the wind turbine especially at very high altitudes as the aerodynamic torque is reduced.

The dynamic behavior of a DFIG wind turbine is represented by the following models: rotor, drive train, induction generator, converter, and protection in systems, rotor speed controller represented by the power curve, and blade pitch angle controller in [1, 4].

Generally, VSWT system consists of the following components: aerodynamics, drive trains, and generator.

The GAN trains a generator deep net G that converts a random seed z – a Gaussian vector – into an image G z).