Study on fusion diagnosis techniques of wear faults in synthesized monitoring of aero-engine

CHEN Li-bo; SONG Lan-qi; CHEN Guo

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Study on fusion diagnosis techniques of wear faults in synthesized monitoring of aero-engine

更新时间：2026-07-07

- Study on fusion diagnosis techniques of wear faults in synthesized monitoring of aero-engine
- Vol. 24, Issue 1, (2009)
- 作者机构：
  
  1. 北京航空工程技术研究中心,北京,100076
  2. 南京航空航天大学民航学院,南京,210016
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2009
- 稿件说明：
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CHEN Li-bo, SONG Lan-qi, CHEN Guo. Study on fusion diagnosis techniques of wear faults in synthesized monitoring of aero-engine[J]. 2009, 24(1).
DOI：

CHEN Li-bo, SONG Lan-qi, CHEN Guo. Study on fusion diagnosis techniques of wear faults in synthesized monitoring of aero-engine[J]. 2009, 24(1). DOI：

摘要

单一的滑油光谱监控手段容易漏报航空发动机磨损故障.根据滑油光谱监控和自动磨粒检测互补的特点

在某型航空发动机上实施滑油综合监控

应用Dempster-Shafer(D-S)证据理论实现发动机磨损故障的融合诊断

并开发出基于上述监控方法和信息融合诊断的滑油监控专家系统.通过对实际诊断案例进行分析

结果表明:提出的滑油综合监控和融合诊断方法可有效解决该型发动机轴承故障预报的难题.

Abstract

Although spectrometric oil analysis(SOA) is a widely applied technique for wear condition monitoring of lubricating system

this single monitoring technique is difficult to accurately predict some damages or failures in oil wetted system including bearing fatigues of aero-engine.In this paper

two techniques including SOA and auto debris classifier were applied to synthetically monitor a certain aero-engine

the Dempster-Shafer(D-S) evidence theory was used to implement fusion diagnosis

and an engine oil monitoring expert system was developed to carry out fusion diagnosis.Finally

some examples were analyzed;the results indicate that synthesized monitoring and fusion diagnosis is an important approach to increase the reliability for forecasting failures of aero-engine.

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