摘要

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 evaluative 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.

  • 出版日期2011

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