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所属单位：民航学院
发表刊物：2017 INTERNATIONAL CONFERENCE ON SENSING, DIAGNOSTICS, PROGNOSTICS, AND CONTROL (SDPC)
关键字：QAR data oil consumption rate on-line monitoring
摘要：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.
是否译文：否
发表时间：2017-01-01
合写作者：Wang Han,孙见忠,Liu Zhulin
通讯作者：左洪福