Hangkong gongcheng jinzhan (Jun 2023)

Research progress of AI-based avionics system certification for airworthiness compliance

  • DONG Lei,
  • LIU Jiachen,
  • CHEN Xi,
  • XIAO Nyu'e,
  • LIANG Boyao,
  • ZHANG Yuanshan

DOI
https://doi.org/10.16615/j.cnki.1674-8190.2023.03.03
Journal volume & issue
Vol. 14, no. 3
pp. 26 – 40

Abstract

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For the public and stakeholders, it is necessary to demonstrate airworthiness safety of AI-based avionics system in acceptable means of compliance, so as to solve problems of trustworthiness, uncertainty and explainabili-ty of civil aircraft avionics system caused by introducing artificial intelligence/machine learning technology. First of all, the classification and application status of AI-based avionics system are analyzed, and the applicability of exist-ing guidelines and standards are expounded. Then, based on the review of the current research progress, the imple-mentation process and technical details of the certification framework for AI-based avionics system are summarized.Finally, the requirements and implementation methods of the compliance verification of AI-based avionics system in each stage of the whole life cycle are put forward, and the impact of compliance verification on the existing air-worthiness system is evaluated. The study provides the reference for the design and certification of civil aircraft AIbased avionics system.

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