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4.456  Articles
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Ships equipped with a dynamic positioning system has a more number of thuster than ships that are not equipped with a dynamic positioning system. The addition of this thruster resulted in a significant increase in electrical loads so that the power plant ... see more

Ships equipped with a dynamic positioning system has a more number of thuster than ships that are not equipped with a dynamic positioning system. The addition of this thruster resulted in a significant increase in electrical loads so that the power plant ... see more

This paper proposed a fault-tolerant approach based on information fusion (IF) to automatically locate the transient voltage disturbance source (TVDS) in smart distribution grids. We first defined three credibility factors that will influence the reliabil... see more

Contactless capacitive (open-air) sensors are applied to monitor overvoltages near overhead line terminations at a substation or at the transition from underground cables to overhead lines. It is shown that these sensors, applied in a differentiating/inte... see more

Electrical system in a military vehicle is a low voltage (28 V dc) system which is an unsymmetrical and nonlinear system made up of silicon-rectifying generator and a battery in parallel. Studies have been carried out using numerical method to calculate i... see more

Basically a ship has a variety of conditions, namely cargo handling, anchoring, maneuvering, and sailing its requires large electricity consumption. The quality of the voltage is not good will cause damage to electrical equipment on board. Disturbances th... see more

Purpose. The essence and basic characteristics of calculation methods of transient electromagnetic processes in the elements and devices of non–linear dynamic electric traction systems taking into account the stochastic changes of voltages and currents in... see more

This paper presents a technique that predicts the transient stability status of a power system after a disturbance. It uses generator bus voltage as input parameter and a trained single-input multilayer perceptron neural network (MLPNN) as decision tool. ... see more

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