A Fault Diagnosis Method Used for the Three-Phase Full-Bridge Rectifier Circuit

2016 ◽  
Author(s):  
Chi Cai ◽  
Jingyi Du ◽  
Rui Gao ◽  
Wenhui Liu
Keyword(s):  
Fault Diagnosis ◽  
Rectifier Circuit ◽  
Three Phase ◽  
Bridge Rectifier ◽  
Diagnosis Method

Fault Diagnosis Method for Rectifier Circuit Based on Self-Organizing Map

2013 ◽  
Vol 321-324 ◽  
pp. 1930-1933 ◽  
Author(s):  
Run Xia Shen ◽  
Yi Min Lu ◽  
Qian Qian Liang
Keyword(s):  
Feature Extraction ◽  
Fault Diagnosis ◽  
Self Organizing Map ◽  
Rectifier Circuit ◽  
Three Phase ◽  
Bridge Rectifier ◽  
Diagnosis Method ◽  
Fault Feature Extraction ◽  
Relevant Experiment ◽  
Self Organizing

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.

scholarly journals Fault Diagnosis Method of Power Electronic Converter Based on Broad Learning

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Ran Han ◽  
Rongjie Wang ◽  
Guangmiao Zeng
Keyword(s):  
Fault Diagnosis ◽  
Learning System ◽  
Power Electronic ◽  
Fault Type ◽  
Fault Features ◽  
Three Phase ◽  
Power Electronic Circuits ◽  
Bridge Rectifier ◽  
Diagnosis Method ◽  
Sparse Autoencoder

In order to realize the unsupervised extraction and identification of fault features in power electronic circuits, we proposed a fault diagnosis method based on sparse autoencoder (SAE) and broad learning system (BLS). Firstly, the feature is extracted by the sparse autoencoder, and the fault samples and feature vectors are combined as the input of the broad learning system. The broad learning system is trained based on the error precision step update method, and the system is used to the fault type identification. The simulation results of the thyristor fault diagnosis of the three-phase bridge rectifier circuit show that the method is effective and has better performance than other traditional methods.

scholarly journals A Novel Generalized Memristor Based on Three-Phase Diode Bridge Rectifier

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
Chaojun Wu ◽  
Ningning Yang ◽  
Cheng Xu ◽  
Rong Jia ◽  
Chongxin Liu
Keyword(s):  
Hysteresis Loops ◽  
Normal Operation ◽  
Rectifier Circuit ◽  
The Third ◽  
Three Phase ◽  
Bridge Rectifier ◽  
Pinched Hysteresis Loop ◽  
Intersection Points ◽  
Simulation Results ◽  
Pinched Hysteresis

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.

The Development Research of Plug and Play Rectifier Fault Diagnosis Device

2013 ◽  
Vol 827 ◽  
pp. 309-314
Author(s):  
Fang Lu ◽  
Hong Da Liu ◽  
Wei Yuan Fan ◽  
Wen Hao Zhang ◽  
Nai Jun Shen ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Support Vector Machines ◽  
Support Vector ◽  
Development Research ◽  
Plug And Play ◽  
Rectifier Circuit ◽  
Vector Machines ◽  
Different Types ◽  
Diagnosis Method ◽  
Rectifier Circuits

Based on support vector machines (SVM) theory, the method of fault diagnosis for controlled rectifier circuits is expanded to study in the paper, by the basis we analysis the method can be applied to diode rectifier circuit and verified it through the experiment. In addition to this , the rectifier circuit with different types of loads are also simulated to describe the reason this method is applicable to the different types of loads. In the premise of ensuring the accuracy of the method, through the expansion of research, the fault diagnosis method has broader prospects and higher practical value.

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