研究人员开发了一种通用的航空飞机智能故障诊断系统，解决了真实世界故障数据有限等挑战。该系统集成了高保真飞行动力学模拟器和基于失效模式与影响分析（FMEA）的故障注入模块。它利用多保真残差特征提取和大型语言模型（LLM）生成可解释的诊断报告。 AI
影响 引入了一种新颖的飞机故障诊断框架，有望通过LLM增强的报告提高安全性和维护效率。
排序理由 这是一篇详细介绍飞机故障诊断新方法的学术论文。
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AI利用数字孪生和LLM增强飞机故障诊断
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报道来源 [1]
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基于多保真数字孪生与FMEA知识增强的通用航空飞机智能故障诊断方法
arXiv:2604.22777v1 Announce Type: cross Abstract: Fault diagnosis of general aviation aircraft faces challenges including scarce real fault data, diverse fault types, and weak fault signatures. This paper proposes an intelligent fault diagnosis framework based on multi-fidelity d…