A method for calculating the pulsating dc current of three-phase bridge rectifier circuit with source impedance

1982 ◽  
Vol 102 (3) ◽  
pp. 67-73
Author(s):  
Masaaki Sakai ◽  
Hiroshi Fujita
Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
Chaojun Wu ◽  
Ningning Yang ◽  
Cheng Xu ◽  
Rong Jia ◽  
Chongxin Liu

Memristive characteristics in three-phase diode bridge rectifier circuit are proposed in this paper. The conduction of the diodes is discussed and the characteristics of the pinched hysteresis loop are analyzed by both numerical simulations and circuit simulations. The hysteresis loops of each phase not only are pinched at the origin but also have the other two intersection points in the first quadrant and the third quadrant when three-phase bridge rectifier circuit is running under normal operation. Other conditions are also discussed when a variety of faults conditions occur. The simulation results verify that the three-phase bridge rectifier circuit can be described as a generalized memristor element during several operation states.


1975 ◽  
Vol 12 (1) ◽  
pp. 44-56 ◽  
Author(s):  
I. R. Smith ◽  
S. Williams

An analysis is presented of inductively-loaded single-phase and three-phase thyristor bridge rectifier circuits, in which the source impedance cannot be neglected. It is shown that, as the ratio of the source reactance to the load resistance is raised, modes of operation with differing characteristics occur. Although the effect of an increased delay in the thyristor firing signals is normally to reduce the output voltage, it is shown that under certain conditions no change whatsoever is produced in the circuit wave-forms.


2013 ◽  
Vol 321-324 ◽  
pp. 1930-1933 ◽  
Author(s):  
Run Xia Shen ◽  
Yi Min Lu ◽  
Qian Qian Liang

Fault feature extraction and recognition play crucial role in fault diagnosis. In this paper, a fault diagnosis method for three-phase fully-controlled bridge rectifier circuit based on Self-Organizing Map network is proposed. The method utilized the three phase AC input current as fault detection data. Then, perform spectrum analysis with the FFT, the fault data is trained through a Self-Organizing Map network for diagnosis. Simulation and relevant experiment verifying the proposed algorithm can classify various types of power electronics device faults accurately and rapidly.


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