Aircraft Engine Health Monitoring using Density Modelling and Extreme Value Statistics
نویسندگان
چکیده
Current practice in the operation and maintenance of an aircraft fleet requires analysis of data obtained from in-service engines in order to identify engine deterioration and provide preventative maintenance. Typically large quantities of engine vibration and performance data are available from various engine-mounted sensors. The analysis of such data requires techniques for modelling these multivariate data allowing fleet specialists to establish profiles of engine behaviour under different operating conditions. Additionally, such techniques can be used to identify precursors of engine events to avoid loss of engine service.
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