基于符号序列联合熵的航空发动机健康监控方法
Aero-engine health monitoring method based on joint entropy of symbolic series
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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.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.
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Key words:
- aero-engine /
- symbolic series /
- joint entropy /
- flight data /
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