探索航空器故障诊断知识图的构建和应用的研究
Xilang Tang1, Guo Chi2, Lijie Cui1
1Equipment Management and Unmanned Aerial Vehicle Engineering School, Air Force Engineering University, Xi'an 710051, China.
Sensors (Basel, Switzerland)
|June 10, 2023
概括
本研究引入了飞机故障知识图表,以增强飞机故障诊断. 开发的系统有助于维护工程师快速准确地识别故障根源.
科学领域:
- 航空航天工程 航空航天工程
- 人工智能的人工智能
- 知识管理知识管理
背景情况:
- 传统的飞机故障诊断方法由于飞机的复杂性增加而变得越来越低效.
- 有效的故障诊断对于飞机维护和运营安全至关重要.
研究的目的:
- 构建和应用飞机故障知识图,以提高维护工程师的故障诊断效率.
- 开发一个故障问题答案系统,利用构建的知识图.
主要方法:
- 分析飞机故障诊断的知识元素,并定义故障知识图表图.
- 从结构化和非结构化数据中提取故障知识,使用深度学习和启发式规则.
- 为特定的飞机类型构建故障知识图.
主要成果:
- 一个特定飞机的故障知识图已经成功构建.
- 开发了一个故障问题答复系统,展示了对维护查询的准确答案.
- 知识图有效地管理飞机故障知识,有助于快速识别根本原因.
结论:
- 建议的知识图方法为管理复杂的飞机故障信息提供了一种有效的方法.
- 开发的系统有助于维护工程师在准确和快速的故障诊断.
- 知识图表是提高飞机维护效率和安全的宝贵工具.
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