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工业大数据背景下的航空智能发动机:机遇与挑战
引用本文:苗强,蒋京,张恒,罗冲. 工业大数据背景下的航空智能发动机:机遇与挑战[J]. 仪器仪表学报, 2019, 40(7): 1-12
作者姓名:苗强  蒋京  张恒  罗冲
作者单位:四川大学空天科学与工程学院空天信息处理与应用中心
基金项目:国家自然科学基金(51675355)、可靠性与环境工程技术国防重点实验室基金(6142004005 1)资助项目
摘    要:随着人工智能技术的发展,智能化已经成为未来航空发动机产业的发展趋势之一,航空智能发动机成为近年来的研究热点,其发展将会带来新一轮航空工业的技术革命。本文阐述了航空智能发动机的研制背景,分析了航空智能发动机在航空工业的2例成功应用案例,重点探讨了航空智能发动机在智能控制、智能健康监测与故障诊断等方面的研究现状,以及航空智能发动机发展的关键问题。最后,总结了工业大数据背景下航空智能发动机在数据管理、信息交互、信息融合、诊断时效性、寿命预测等方向的发展趋势。

关 键 词:航空智能发动机;工业大数据;机器学习;健康监测;故障诊断

Development of aviation intelligent engine under industrial big data: Chances and challenges
Miao Qiang,Jiang Jing,Zhang Heng,Luo Chong. Development of aviation intelligent engine under industrial big data: Chances and challenges[J]. Chinese Journal of Scientific Instrument, 2019, 40(7): 1-12
Authors:Miao Qiang  Jiang Jing  Zhang Heng  Luo Chong
Affiliation:Center of Aerospace Information Processing and Application, School of Aeronautics and Astronautics, Sichuan University, Chengdu 610065, China
Abstract:With the development of artificial intelligence technology, intelligentization has become one of the development trends of the future aeroengine industry. The intelligent aeroengine has become a research hotspot in recent years. Its development will bring a new round of technology revolution in the aviation industry. The background of the intelligent aeroengine is investigated, and two successful applications of the intelligent aeroengines are discussed. In addition, the research progress of intelligent aeroengine is summarized particularly in terms of intelligent control, intelligent health monitoring, fault diagnosis, etc. The challenge issues of intelligent aeroengine are outlined. Its development trend in the context of industrial big data are discussed, including data management, information exchange, information fusion, diagnosis timeliness, life prediction, etc.
Keywords:aviation intelligent engine   industrial big data   machine learning   health monitoring   fault diagnosis
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