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在用润滑油发射光谱分析技术评述 被引量:8

Review on Atomic Emission Spectroscopy for Used Oils
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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。 The successful application of oil analysis on the condition monitoring and fault diagnosis of mechanical equipment and the importance of the atomic emitting spectrometry( AE spectroscopy) on the fault diagnosis of mechanical equipment were introduced.The methods of analyzing the data of more than 20 elements concentration containing in the AE spectroscopy analysis of oil sample were introduced,including threshold value method, clustering method and element concentration prediction method.The main applications of AE spectroscopy were analyzed, including lubrication condition monitoring, wear fault diagnosis, identifying oil type and judging deterioration of lubricating oil, and detecting oil contamination.It that the technology of oil AE spectroscopy is ineffective to the detection of the wear particles greater than 10 μm in size and information redundancy is large, and AE spectroscopy should be combined with ferrous debris monitoring device, analytical ferrography or particle counter in usage.It is pointed out that AE spectroscopy needs to improve detecting efficiency for large wear debris.
出处 《润滑与密封》 CAS CSCD 北大核心 2017年第9期127-133,共7页 Lubrication Engineering
基金 湖北省自然科学基金项目(2010CDB01505)
关键词 发射光谱 油液分析 状态监测 故障诊断 傅里叶红外 atomic emitting spectroscopy oil analysis condition monitoring fault diagnosis FT-IR
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