Design And Establishment Of Engine Condition Monitoring Ground Support Station Based On QAR

A concerned issue,which is focused by original equipment manufacturers and carriers for a long period,is that how to operate the engine health condition monitoring efficiently and accurately.Troubleshooting for unhealthy engines and trend analysis for healthy engines both are indispensable parts of Engine Health Management(EHM)System.The abroad Engine Condition Monitoring(ECM)System with which standard specifications are complied increases the efficiency and decreases the cost of operation and maintenance effectively,which lead to be widely used in foreign countries.However,none of single ECM that is established by different domestic airlines follows the unified standard specification.To satisfy the specified requirements of engine health monitoring and analysis from domestic airlines,this dissertation aims to establish a general engine condition monitoring system,which corresponds to international standard.The engine condition monitoring ground support station based on QAR data is proposed for the first time,which is associated to market requirements and advanced foreign system.Pretreatments had been done and an improved time-frame flight split method is used and the phase of flight is divided more accurate before establishment.The dissertation focuses on researching SVM on troubleshooting and multiple kernel learning SVM is brought to diagnose the fault of aero engines for the first time.Combined kernel functions are made and advantages are mentioned after a deep intensive study.Many code languages are used,such as HTML,Javascript and SQL,to develop the aero engine condition monitoring ground support station system under standard specifications,and the main modules are established and applied.