报告详情
Fault diagnosis of Integrated Core Processor in avionics system based on CNN-Transformer
编号：5
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更新：2024-10-23 11:39:03
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摘要
The structure and function of Integrated Core Processor (ICP) of the avionics system are relatively complex, while traditional fault diagnosis methods perform low accuracy and low efficiency. To address these issues, this paper proposes an enhanced CNN-Transformer algorithm for fault diagnosis of the integrated core processor. Initially, CNN model is employed to extract spatial features, reduce computational complexity, and preserve essential data. Subsequently, Transformer model utilizes self-attention calculations to capture relationships and characteristics within the input sequence. Finally, a fully connected neural network is applied to classify the faults. The method was validated using multiple datasets recorded by the Fiber Channel bus, achieving a diagnostic accuracy of 96.09%, outperforming other comparative approaches.
关键词
avionics system, Integrated Core Processor， fault diagnosis, CNN-Transformer, Fiber Channel bus.
报告人
ZhaoXinbo
Assistant Engineer Chengdu Aircraft Design and Research Institute稿件作者
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重要日期
-
会议日期
10月31日
2024
至11月03日
2024
-
09月30日 2024
初稿截稿日期
-
11月12日 2024
注册截止日期
主办单位
Anhui University
Xi’an Jiaotong University
Harbin Institute of Technology
IEEE Instrumentation & Measurement Society
Xi’an Jiaotong University
Harbin Institute of Technology
IEEE Instrumentation & Measurement Society
联系方式
- Mrs. icsmd
- ic******@163.com
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