航空学报 > 2022, Vol. 43 Issue (8): 626565-626565   doi: 10.7527/S1000-6893.2021.26565

故障诊断技术在航空航天领域中的应用专栏

航空燃气涡轮发动机故障诊断研究现状与展望

林京1, 张博瑶1, 张大义2, 陈敏2   

  1. 1. 北京航空航天大学 可靠性与系统工程学院, 北京 100083;
    2. 北京航空航天大学 能源与动力工程学院, 北京 100083
  • 收稿日期:2021-10-26 修回日期:2021-12-03 出版日期:2022-08-15 发布日期:2021-12-01
  • 通讯作者: 林京,E-mail:linjing@buaa.edu.cn E-mail:linjing@buaa.edu.cn
  • 基金资助:
    国家自然科学基金(91860205)

Research status and prospect of fault diagnosis for gas turbine aeroengine

LIN Jing1, ZHANG Boyao1, ZHANG Dayi2, CHEN Min2   

  1. 1. School of Reliability and Systems Engineering, Beihang University, Beijing 100083, China;
    2. School of Energy and Power Engineering, Beihang University, Beijing 100083, China
  • Received:2021-10-26 Revised:2021-12-03 Online:2022-08-15 Published:2021-12-01
  • Supported by:
    National Natural Science Foundation of China (91860205)

摘要: 航空燃气涡轮发动机技术是一个国家工业水平和科技实力的综合体现,故障诊断技术是航空发动机安全、经济运行的重要保障,也是衡量其先进性的重要指标之一。由于航空发动机结构复杂、系统集成度高、服役环境恶劣、工作状态多变,同时存在在线测试条件有限、诊断信息量不易保障等制约,故障诊断面临较多挑战。本文从气路分析与性能评价、机械系统故障诊断和多参量信息融合3个方面对国内外航空发动机故障诊断技术进行梳理,剖析存在的主要问题和挑战,并对未来发展趋势进行展望。

关键词: 航空燃气涡轮发动机, 故障诊断, 气路分析, 振动分析, 信息融合

Abstract: Gas turbine engine is a comprehensive embodiment of the level of national science, technology and industry. Fault diagnosis is an important guarantee for its safe and reliable operation and an essential indicator of engine advancement. However, due to the complicated structure, highly integrated system, harsh service environment, variable mission profiles, the constraints of limited online testing conditions, and the poor supportability of diagnostic information acquisition, the fault diagnosis for aeroengine faces multiple challenges. In this paper, the research status in China and abroad is firstly reviewed and analyzed from three aspects: gas path analysis and performance evaluation, mechanical fault diagnosis and information fusion. Then, the exciting key problems and challenges in the current research are pointed out. Finally, the future development trends are discussed.

Key words: gas turbine engine, fault diagnosis, gas path analysis, vibration analysis, information fusion

中图分类号: