基于光谱分析技术的磨损故障监测

采用转盘电极式原子发射光谱分析技术,监测某型燃气轮机传动润滑系统磨损状况的发展变化趋势,及时诊断早期磨损故障.为确保光谱分析技术监测的准确性,着重研究了环境温度波动、标准曲线细化、样品黏度以及磨损颗粒尺寸等主要因素对测量结果的影响,并简要阐述了光谱分析技术的基本原理.经大量研究试验表明:光谱分析技术能够提前预报燃气轮机传动润滑系统可能发生的磨损故障,是油液状态监控的1种有效手段.

Analysis of Influence Factors on Wear Failure Monitoring Based on Spectral Analysis Technology

The wear condition development trend in transmission and lubrication system of a gas turbine was monitored by RDE atomic emission spectrometric analysis technique and the early wear failure was diagnosed in time. To enhance the accuracy of spectral analysis technology monitoring, the main influence effects, such as the fluctuation of the environmental temperature, the standard curve drafting, the viscosity of the sample and the size of the wear particles were studied. The basic principle of spectral analysis technology was simply introduced. The research tests show that the spectral analysis technology can effectively forecast the premiere wear failure in transmission and lubrication system of gas turbine. It is an effctive method to monitor oil condition