Key technology and research progress in avionics fault diagnosis

Ziyu Wu; Wei Niu; Yuhong Zhao; Ao Deng

doi:10.1117/12.3029295

22 May 2024 Key technology and research progress in avionics fault diagnosis

Ziyu Wu, Wei Niu, Yuhong Zhao, Ao Deng

Proceedings Volume 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023); 1317639 (2024) https://doi.org/10.1117/12.3029295
Event: Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 2023, Hangzhou, China

Abstract

The avionics is an important component of the avionics system , and its condition is closely related to the health state of the aircraft. However, nowadays the complexity of avionics systems makes it more difficult to fault diagnose the electronic equipment in avionics systems. In order to solve this problem, this paper discusses the research of common faults in avionics, outlines the difficulties of fault diagnosis of avionics, summarizes the development and research status of fault diagnosis of avionics, and introduces the key technologies of fault diagnosis of avionics from three perspectives: data preprocessing, anomaly detection, and fault location. This paper examines the issues surrounding fault diagnosis of avionics and look ahead the future development direction in this field.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ziyu Wu, Wei Niu, Yuhong Zhao, and Ao Deng "Key technology and research progress in avionics fault diagnosis", Proc. SPIE 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 1317639 (22 May 2024); https://doi.org/10.1117/12.3029295

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