Quick News Bit

Researchers propose a novel fault diagnosis algorithm for pulse width modulation converter

0
Researchers propose novel fault diagnosis algorithm for pulse width modulation converter
Fig. 1. The architecture of the proposed model. Credit: Zhang Li

A research team led by Prof. Gao Ge and Jiang Li from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has investigated the fault diagnosis of a pulse width modulation converter and proposed a neural network fault diagnosis algorithm to solve existing problems in this field. Results were published in IEEE Transactions on Power Electronics.

Pulse width modulation has the advantages of high efficiency, high power density and high reliability. But due to the complexity of the drive systems and the diversity of fusion joint operation, pulse-width modulating voltage source converter systems are prone to suffer critical failures. Therefore, research on fault diagnostic technology is of deep concern, especially open-circuit fault diagnosis, which was what scientists have been focusing in this study.

Current fault diagnosis methods only deal with the rectification state or inverter state. Theoretical analysis shows that the fault characteristic quantities in both two states have completely different characteristics and complicated, which increases the difficulty of fault diagnosis.

In this study, when applying the proposed algorithm, the researchers used only the three-phase grid side current as the characteristic quantity of fault diagnosis, and diagnosed 21 types of faults in both rectification and inverter state.

“Different from the traditional Convolutional Neural Network architecture, a carefully crafted design can increase the depth and width of the network while keeping the computing budget constant,” said Dr. Deng Xi, first author of the study. “This can make better use of the computing resources inside the network.”

Researchers propose novel fault diagnosis algorithm for pulse width modulation converter
Fig. 2. Model accuracy of the neural network model. Credit: Zhang Li

The experimental results show that the model can accurately detect approximately 99.14% of open-circuit switch faults within 12.83 ms (

This study offers a foundation for the safe and stable operation of fusion power systems, and provides reference value for other fields.


Scientists develop intelligent fault diagnosis method for nuclear power plants


More information:
Xi Deng et al, Open-Switch Fault Diagnosis of Three-Phase PWM Converter Systems for Magnet Power Supply on EAST, IEEE Transactions on Power Electronics (2022). DOI: 10.1109/TPEL.2022.3194113

Provided by
Chinese Academy of Sciences


Citation:
Researchers propose a novel fault diagnosis algorithm for pulse width modulation converter (2022, August 24)
retrieved 24 August 2022
from https://techxplore.com/news/2022-08-fault-diagnosis-algorithm-pulse-width.html

This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
part may be reproduced without the written permission. The content is provided for information purposes only.

For all the latest Technology News Click Here 

 For the latest news and updates, follow us on Google News

Read original article here

Denial of responsibility! NewsBit.us is an automatic aggregator around the global media. All the content are available free on Internet. We have just arranged it in one platform for educational purpose only. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful owners, all materials to their authors. If you are the owner of the content and do not want us to publish your materials on our website, please contact us by email – [email protected]. The content will be deleted within 24 hours.

Leave a comment