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基于符号序列联合熵的航空发动机健康监控方法
引用本文:史永胜,姜颖,宋云雪.基于符号序列联合熵的航空发动机健康监控方法[J].航空动力学报,2011,26(3):670-674.
作者姓名:史永胜  姜颖  宋云雪
作者单位:中国民航大学,航空工程学院,天津,300300
基金项目:国家自然科学基金委员会与中国民用航空总局联合资助项目,天津市自然科学基金
摘    要:引入信息熵理论,结合对多参数时间序列的符号化处理,探讨其在航空发动机健康监控中的应用.利用符号序列联合熵对航空发动机性能参数无序程度的描述,分析航空发动机健康状态及其演化方向.对两组实际飞行数据的实验分析表明,该方法描述的航空发动机的健康发展趋势与实际情况相吻合,能够较好反映航空发动机的健康状态,可以为航空发动机的健康...

关 键 词:航空发动机  符号序列  联合熵  飞行数据  健康监控
收稿时间:2/7/2010 1:12:18 AM
修稿时间:4/1/2010 12:00:00 AM

Aero-engine health monitoring method based on joint entropy of symbolic series
SHI Yong-sheng,JIANG Ying and SONG Yun-xue.Aero-engine health monitoring method based on joint entropy of symbolic series[J].Journal of Aerospace Power,2011,26(3):670-674.
Authors:SHI Yong-sheng  JIANG Ying and SONG Yun-xue
Institution:College of Aeronautical Engineering, Civil Aviation University of China,Tianjin 300300,China;College of Aeronautical Engineering, Civil Aviation University of China,Tianjin 300300,China;College of Aeronautical Engineering, Civil Aviation University of China,Tianjin 300300,China
Abstract:Information entropy theory was introduced into this paper for aeroengine health monitoring combined with symbolized multiple parameter time series. The joint entropy of symbolic series, which depicts the disorder degree of aeroengine performance parameters, was used to analyze aeroengine health condition and evolutive trend. Experiments of two data sets have been done, and the results show that the method described in the healthy evolution of aero-engine coincides with the actual situation. The method can reflect the health condition and can be applied in aeroengine health monitoring.
Keywords:aeroengine  joint entropy  symbolic series  flight data  health monitoring
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