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基于AI的航空发动机运维保障探究

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为了提高航空发动机运维的可靠性并降低其全寿命周期的使用维修成本,基于当前先进的人工智能技术探讨了大语言模型、多模态技术和机器学习在航空发动机运维保障中的应用潜力,构建了基于人工智能的航空发动机运维保障框架,探究了人工智能在航空发动机运维保障中的潜在应用场景,深入分析了人工智能在航空发动机应用中面临的问题与挑战,并给出了相应的对策和建议.
Research on AI-based Operation and Maintenance Support for Aero-engines
In order to improve the reliability of aero-engine operation and maintenance,and reduce the use and maintenance costs in its full life cycle,the application potential of large language models,multi-mode technologies,and machine learning in aero-engine operation and maintenance support is discussed based on current advanced artificial intelligence technology,and an AI-based aero-engine operation and maintenance support framework is constructed.Potential application scenarios of AI in aero-engine operation and maintenance support is explored.The problems and challenges faced by AI in aero-engine applications are deeply analyzed,and corresponding countermeasures and suggestions are provided.

artificial intelligenceaero-engineoperation and maintenance supportlarge lan-guage modelmulti-modemachine learning

陈庆贵、李洪伟、魏江、徐铭蔚

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青岛空天动力结构安全研究所,山东 青岛 266000

人工智能 航空发动机 运维保障 大语言模型 多模态 机器学习

2024

电子产品可靠性与环境试验
工业和信息化部电子第五研究所(中国电子产品可靠性与环境试验研究所) (中国赛宝实验室)

电子产品可靠性与环境试验

影响因子:0.438
ISSN:1672-5468
年,卷(期):2024.42(z1)