Constructing and Re-training Models for Condition Monitoring in Jet Engines
نویسندگان
چکیده
This paper describes a method for constructing a model of normal system state for the purpose of providing continuous condition monitoring of an aerospace gas-turbine engine. We show how the model can be visualised in 2D to allow an intuitive identification of abnormal engine and how periods of abnormal engine condition can be identified by means of a novelty score. This approach is illustrated using vibration data from an Engine Health Monitoring (EHM) system. This paper focuses on the specific case of modelling engine condition following a maintenance overhaul during which the characteristics of an engine can shift significantly, leading to false positive alerts based on the existing engine model.
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