在用润滑油发射光谱分析技术评述

发布时间：2018-02-10 03:48

本文关键词： 发射光谱油液分析状态监测故障诊断傅里叶红外　出处：《润滑与密封》2017年09期 　论文类型：期刊论文

【摘要】：简述油液分析技术在机械设备状态监测与故障诊断领域中的成功应用和油料发射光谱技术的重要地位。发射光谱分析油样数据中所包含20多个甚至更多的元素数据,介绍对这些数据的分析方法,包括门阈值法、聚类法、元素含量预测法等。分析发射光谱技术的主要应用,包括监测润滑工况、诊断磨损故障、识别油料种类、判断润滑油劣化变质和检测油液污染状况等。提出油料发射光谱技术存在对尺寸大于10μm的金属磨粒检测效率低、信息冗余度大等问题,其在实际使用过程中必须与铁量仪、分析式铁谱仪或颗粒计数器等配合;指出油料发射光谱技术需要提高大尺寸磨粒的检测效率。
[Abstract]:This paper describes the successful application of oil analysis technology in the field of mechanical equipment condition monitoring and fault diagnosis and the important position of oil emission spectrum technology. This paper introduces the analysis methods of these data, including gate threshold method, clustering method, element content prediction method, etc. The main applications of emission spectrum technology are analyzed, including monitoring lubrication condition, diagnosing wear fault, identifying oil types, etc. To judge the deterioration and deterioration of lubricating oil and to detect oil contamination, it is pointed out that oil emission spectrum technology has some problems such as low detection efficiency and large information redundancy for metal abrasive particles larger than 10 渭 m in size, which must be compared with iron meter in practical use. It is pointed out that the oil emission spectrum technology needs to improve the detection efficiency of large size abrasive particles.
【作者单位】：海军工程大学动力工程学院;
【基金】：湖北省自然科学基金项目(2010CDB01505)
【分类号】：O657.3;TE626.3

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