基于符号序列联合熵的航空发动机健康监控方法

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

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(60879017); 天津市自然科学基金(08JCYBJC11600)

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出版历程
- 收稿日期: 2010-02-07
- 修回日期: 2010-04-01
- 刊出日期: 2011-03-28

Aero-engine health monitoring method based on joint entropy of symbolic series

College of Aeronautical Engineering, Civil Aviation University of China,Tianjin 300300,China

摘要

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监控提供一种新的方法.
- 航空发动机 /
- 符号序列 /
- 联合熵 /
- 飞行数据 /
- 健康监控
Abstract: Information entropy theory was introduced into this paper for aero-engine health monitoring in combination with symbolized multiple parameters time series.The joint entropy of symbolic series,which depicts the disorder degree of aero-engine performance parameters,was used to analyze aero-engine health condition and evolutive trend.Experiments of two data sets were 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 also can be applied in aero-engine health monitoring.
- aero-engine /
- symbolic series /
- joint entropy /
- flight data /

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参考文献(12)

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