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Affiliation of Author(s):民航学院

Journal:2017 INTERNATIONAL CONFERENCE ON SENSING, DIAGNOSTICS, PROGNOSTICS, AND CONTROL (SDPC)

Key Words:QAR data oil consumption rate on-line monitoring

Abstract:Aeroengine is a complicated system in which the transmission components, rotating components, etc. all have lubrication requirements, so the aeroengine lubrication system has an important impact on the operation of the engine. The oil consumption rate is a direct response to the health of the lubrication system. When the oil consumption rate is too high or else too low, it shows that the oil system is abnormal, and the oil leakage will have a serious impact on the engine. Monitoring of oil consumption based on QAR data on-line, which use the airborne sensor to collect real-time data, can automatically calculate the oil consumption rate of every flight. Compared to the current route method, which commonly used manual records of oil fillings to calculate the rate of oil consumption, the model of this paper uses a multivariate linear regression method to detect fault such as oil leaks early, is more convenient and intelligent. Moreover, the monitoring interval for the oil consumption rate is reduced from each oil filing interval (several flights) to each flight. Select the actual operation of QAR data from CFM56-7B engine to verify this model. The results show that the model can effectively monitor the oil consumption rate and confirm the feasibility and effectiveness of this method.

Translation or Not:no

Date of Publication:2017-01-01

Co-author:Wang Han,Sun Jianzhong,Liu Zhulin

Correspondence Author:zhf