Experimental Study and Functional Regime Analysis of an Electric Pump Unit With a Three-Phase Asynchronous Motor

In this paper, a new steady-state model of a three-phase asynchronous motor is proposed to be used in the studies of electrical power systems. The model allows for obtaining the response of the demand for active and reactive power as a function of voltage and frequency. The contribution of the model is the integration of the characteristics of the mechanical load that can drive motors, either constant or variable load. The model was evaluated on a 2500 kW and 6000 V motor, for the two types of mechanical load, in a wide range of voltage and frequency, as well as four load factors. As a result of the evaluation, it was possible to verify that, for the nominal frequency and voltage variation, the type of load does not influence the behavior of the powers and that the reactive power is very sensitive to the voltage variation. In the nominal voltage and frequency deviation scenario, it was found that the type of load influences the behavior of the active and reactive power, especially in the variable load. The results demonstrate the importance of considering the model proposed in the simulation software of electrical power systems.

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An experimental study of the minimum fluidization velocity in a three-phase external-loop air-lift reactor

Chemical Engineering Science ◽

10.1016/0009-2509(88)85076-0 ◽

1988 ◽

Vol 43 (5) ◽

pp. 1161-1165 ◽

Cited By ~ 14

Author(s):

Duško Pošarac ◽

Dragan Petrović

Keyword(s):

Experimental Study ◽

Minimum Fluidization Velocity ◽

Fluidization Velocity ◽

External Loop ◽

Minimum Fluidization ◽

Three Phase ◽

Air Lift Reactor ◽

Air Lift

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Experimental study on void fraction, pressure drop and flow regime analysis in a large ID piping system

International Journal of Multiphase Flow ◽

10.1016/j.ijmultiphaseflow.2018.10.006 ◽

2019 ◽

Vol 111 ◽

pp. 31-41 ◽

Cited By ~ 4

Author(s):

Zhuoran Dang ◽

Zijiang Yang ◽

Xiaohong Yang ◽

Mamoru Ishii

Keyword(s):

Experimental Study ◽

Pressure Drop ◽

Flow Regime ◽

Void Fraction ◽

Piping System ◽

Regime Analysis

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Detection of Stator and Rotor Faults in Asynchronous Motor Using Artificial Intelligence Method

Advances in Computer and Electrical Engineering - Soft-Computing-Based Nonlinear Control Systems Design ◽

10.4018/978-1-5225-3531-7.ch013 ◽

2018 ◽

pp. 278-285

Author(s):

K. Vinoth Kumar ◽

Prawin Angel Michael

Keyword(s):

Induction Motor ◽

Asynchronous Motor ◽

Feed Forward Neural Network ◽

Identification Scheme ◽

Hardware System ◽

Rotor Faults ◽

Squirrel Cage ◽

Three Phase ◽

Neural Network Structure ◽

Trained Network

This chapter deals with the implementation of a PC-based monitoring and fault identification scheme for a three-phase induction motor using artificial neural networks (ANNs). To accomplish the task, a hardware system is designed and built to acquire three phase voltages and currents from a 3.3KW squirrel-cage, three-phase induction motor. A software program is written to read the voltages and currents, which are first used to train a feed-forward neural network structure. The trained network is placed in a Lab VIEW-based program formula node that monitors the voltages and currents online and displays the fault conditions and turns the motor. The complete system is successfully tested in real time by creating different faults on the motor.

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