Abstract:

By monitoring the aero-engine performance parameters,the engine state can be accurately determined and the engine performance can be predicted in advance,providing adequate time and decision-making basis for the prevention and troubleshooting. Yielding to a health model by using one-class support vector machine(OCSVM),meanwhile the data sample of normal running status is easier to gain,aero-engine fault detection system is designed based on the quick access recorder (QAR)data of the civil aviation engine. Furthermore,the follow-up flights parameters can be monitored by using OCSVM classification. Ultimately,the engine operation status and performance trend can be obtained. The monitoring results of aero-engine performance parameters show that the faults can be detected in advance and demonstrate the feasibility and effectiveness of this system.

Key words: aero-engine, OCSVM, fault detection, QAR