摘要
航空发动机气路故障在发动机故障类别中是非常重要的一环,因此为保障飞行安全需避免气路故障,并及时对气路故障进行排故和预测。而随着现代算力和算法发展,基于数据驱动的方法在气路故障诊断中也具有越来越重要的影响力。较为详细地叙述了目前中国基于数据驱动方法航空发动机气路故障诊断的现状,讨论了各种方法的优缺点,指出了利用数据驱动方法的难点和关键环节,并对未来相关的研究趋势和发展趋势做出了展望。
Aeroengine gas path fault can be regarded as a very significant part in the engine fault category.Therefore,in order to ensure flight safety,it is necessary to avoid gas path faults and eliminate and predict gas path faults in time.With the development of modern computing power and algorithm,the data-driven method has become more and more crucial in gas path fault diagnosis.Based on the above background,the current situation of engine gas path fault diagnosis based on data-driven method was analyzed in detail.Based on the above research,the advantages and disadvantages of various methods were discussed,and the difficulties and key parts of using data-driven method were also points out.Finally,the future research and the development trend was prospected.
作者
夏存江
詹于游
XIA Cun-jiang;ZHAN Yu-you(College of Aviation Engineering, Civil Aviation Flight University of China, Guanghan 618300, China)
出处
《科学技术与工程》
北大核心
2022年第5期1741-1750,共10页
Science Technology and Engineering
基金
四川省科技重点项目(2020YFG0449)。
