Modeling and Testing Analysis of Aviation Engine Lubricating Oil System
Lubricating oil system has the characteristics of difficulty to reach and high importance in daily maintenance.Based on this,a test analysis of lubricating oil system based on a simulation model was conducted,and the diagnostic strategy of the lubricating oil system was optimized.Based on the working principle of the full-flow single-loop reverse circulation lubricating oil system,a virtu-al simulation model of the oil system was established by using AMESim software,and the accuracy of the built AMESim model was verified by using simulation results on Simulink model,with an error of within 3.5％.The Bayesian network with basic fault events of the lubricating oil system was established to analyze the five important fault modes of the lubricating oil system,which was used to determine important fault events of the lubricating oil system as the research basics on fault injection in simulation models.Fault in-jection was implemented in the model,and by analyzing the changes in preset test point parameters,the fault-test correlation matrix was obtained to achieve the test analysis and optimization of the lubricating oil system.After optimization,the fault detection rate was increased by 16.7％,and the fault isolation rate by 40.0％.The test results can be used to optimize the sensor layout design of the lubricating oil system and provide a support for fault diagnosis of the lubricating oil system.
modeling of lubricating oil systemAMEsimBayesian networktest analysistest indicatorsfault test correlation matrix
万方数据
维普
