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Research On Aeroengine Health Monitoring Methods Based On Performance Parameters

Posted on:2018-09-24Degree:MasterType:Thesis
Country:ChinaCandidate:J ZhangFull Text:PDF
GTID:2322330536987804Subject:Transport Engineering
Abstract/Summary:PDF Full Text Request
Civil aeroengine is the high complex and precision machinery and the heart of aircraft.It works on the environment of high-temperature,high-speed,high-stress,strong-vibration and its working status and load changes constantly.Higher requirements are put forward on its reliability and security.with the technology development of sensor,more performance parameter containing the information of engine can be monitored.However,the monitoring data and fault is nonlinear because of environmental and transmission noise,complex working environment.The gas path fault occupies more than 90% of the aeroengine fault and its maintenance cos occupies 60% of the total maintenance cost.So,it's necessary to implement health monitoring to gas path components.Parameters reduction,parameters forecasting,fault diagnosis and fusion intelligent diagnosis were realized in this paper by analyzing the performance parameters of aeroengine.The main research contents are as follows:(1)The background of aeroengine health monitoring,development history and status of technology,laws and regulations in national and international,necessity and significance of carrying out health monitoring technology were concluded.(2)The common faults of aeroengine and their causes and symptom were analyzed;the key components' mathematical model of a typical aeroengine were established based on the research of structure.(3)The method of aeroengine performance parameters reducting based on grey clustering and fuzzy rough sets was researched and it was proved to be effective.(4)The method of aeroengine parameters trend forecasting based on fuzzy information granulation and optimized SVM was researched and it was proved to be effective.(5)The method of aeroengine fault diagnosis based on immune support vector machine was researched and it was proved to be effective.(6)The method of aeroengine fusion fault diagnosis based on grey correlation and artificial immune algorithm was researched;the accuracies of the single diagnosis method and fusion diagnosis method were compared.
Keywords/Search Tags:Aeroengine, Health monitoring, Parameter reduction, Parameter prediction, Fault diagnosis
PDF Full Text Request
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