报告详情
A Fault Detection Method for Dual-output Flyback Converters Using CCA
编号：26
访问权限：公开
更新：2022-12-21 10:10:06
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张贴报告
摘要
Abstract: The flyback converter is highly preferred due to their cost effectiveness and electrical isolation characteristics. Because flyback converters are so crucial to the industrial world, it is crucial to assure their continuous and secure operation. A fault detection method based on CCA is suggested to efficiently identify a fault state for dual-output flyback converters. Firstly, both outputs voltage of the dual-output flyback converter are collected and then mean-centered. CCA is used to maximize the corelationship between the dual outputs. The residual matrix was constructed according to the correlation between the two outputs obtained by CCA. Then, a statistic is used to evaluate the residual matrix. Finally, calculate the corresponding threshold. The proposed method for detecting faults focuses on the correlation between the outputs, making it possible to identify faults with minimally abnormal characteristics. Fault detection in time can avoid further losses.
关键词
canonical correlation analysis (CCA), dual-output flyback converter, fault detection
报告人
Cuiyu Liu
Student Harbin Institute of TechnologyCuiyu Liu received the B.S. degree from the Department of Automatic Test and Control. Harbin Institute of Technology, Harbin, China, in 2019, where she is currently pursuing the Ph.D. degree in information and communication engineering.
Her current research interests include automatic test technologies, diagnosis, and fault-tolerant con- trol approach for electronic systems.
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重要日期
-
会议日期
11月30日
2022
至12月02日
2022
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11月30日 2022
初稿截稿日期
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12月24日 2022
报告提交截止日期
-
04月13日 2023
注册截止日期
主办单位
Harbin Insititute of Technology
China Instrument and Control Society
Heilongjiang Instrument and Control Society
Chinese Institute of Electronics
IEEE I&M Society Harbin Chapter
China Instrument and Control Society
Heilongjiang Instrument and Control Society
Chinese Institute of Electronics
IEEE I&M Society Harbin Chapter
联系方式
- Organizing Committee
- ic******@163.com
历届会议
-
2025年11月21日 中国 Guangzhou
2025 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence -
2023年11月02日 中国 China
International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence -
2023年11月02日 中国 Xi'an
2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence -
2021年10月21日 中国 Nanjing
2021 International Conference on Sensing, Measurement and Data Analytics in the era of Artificial Intelligence -
2020年10月15日 中国 Xi'an
International Conference on Sensing, Measurement and Data Analytics in the era of Artificial Intelligence
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