基于光谱-铁谱分析的航空发动机磨损故障诊断应用研究

ApplicationResearch of Wear Fault Diagnosis of Aero-engine Based on Spectrum-Ferrography Analysis

飞机航空发动机实施油液监控是新的现代维修监测手段。本文基于光谱及铁谱分析技术联用,对某型航空发动机在不同时间、不同工况下的滑油进行分析监测,识别预测磨损类型及故障部位,验证结果表明:通过对滑油进行光谱分析能够发现监测油样中的超标元素,进而利用铁谱基片观察,并与FITS铁谱图像系统进行对比,能够较为准确地定性磨粒类型,发动机返厂分解验证结果与磨损故障部位诊断预报一致性较高;结合实际监测油样,给出了某型发动机轴承故障的主要类型及故障原因分析,为实现对航空发动机故障诊断和故障预报提供了一定的技术支撑。

Aircraft engine oil monitoring is a new means of modern maintenance monitoring.Based on the combination of spectrum and iron spectrum analysis technology,the lubricating oil of a certain type of aircraft engine at different times is monitored and analyzed under different working conditions.And identification to predict wear types and the failure positions.The verification results show that:through the spectral analysis for lubricating oil,monitoring can be found in the sample standard elements,and then by ferrographic substrate,and compared with FITS of iron spectrum image system,qualitative grinding grain type,to be able to accurately to wear failure parts make a diagnosis and prediction.Based on the actual monitoring of oil samples,the main types and causes of failure of a certain type of engine bearing are given,which provides reliable support for the realization of fault diagnosis and fault prediction of aero-engine.