A Type Of Particle Monitoring And Control Technology Of Aero-engine Lubrication System

Aviation Engine is the core of providing aircraft powered devices, as well as key parts of theaircraft performance constraints, its reliability and security implications. Reduce friction, reducingwear and tear of engine lubrication system, reducing temperature and prevents corrosion, shockabsorption, cleaning the dirt and the purpose of the formation of the seal, it’s realization and protectionof rotating parts functioning work, passed an important part of the implementation force and motion,means a lot to ensure lubrication system in good shape, and one of the critical work that is reasonablewear and tear of engine lubrication system pollution control state. This article for batch productionengine test process in the Appear a large number of unknown particles, in to engine productionprocess and test process full know the basis, to traditional particles The number of Statistics, andparticles micro-image analysis of technology and elements analysis of Method for means, willtraditional statistics method and the existing artificial intelligence technology method phasecombination of, carried out a type aviation engine lubrication system particles monitoringExperimental Study on, and for particles source the establishment of particles control system, toguarantee engine factory quality, and mining engine production potential.This article made by the work the main including:(1) more on the a type aviation engineproduction process, and test experimental and lubrication system structure, and wear fault type andmay produce mill grain type;(2) combination of oil liquid in the particles grain diameterdistribution characteristics of and iron spectrum in the wear intensity defined, made pollution intensityconcept, and will it as quantitative analysis of index application to engine state diagnosis in the,overcome General particles count classification not consider sensitive size particles and iron spectrumcan be repeat sexual poor shortcomings;(3) consider to spectrum data parameter more situation, usefuzzy gathered class method to parameter group processing, to simplify data;(4) use based on d-sevidence theory child BP neural network mill grain recognition results fusion diagnosis, reached goodclassification effect, precision also more high.(5) more on the a type aviation engine particlesmonitoring experimental all process, including sample gets, and sample pretreatment and dataprocessing, and according to experimental results the establishment of particles control system, toreached reduce pollution and wear, and protection engine normal delivery and use the purpose of;(6)use monitoring experimental in the access to a large number of mill grain picture, combination ofCommon Atlas of classification The establishment of the type engine wear particles Atlas of, and theestablishment of PAIS mill grain Atlas of information system, convenient Atlas of management anduse.