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本系统综合多种油液分析的数据结果， 利用智能信息处理技术提取并处理设备润滑油样中有关磨削微粒和油液理化指标等的各类数据结果、特征值信息， 对被监测设备内部磨损趋势进行自动状态监测与智能故障诊断，并在不同层次上提供定量化且形式简明的趋势报告与诊断报表， 作为决策与判断依据， 以协助工业现场或军工单位更高效、准确和系统地完成设备状态维修和预知性维修工作
The system integrated a variety of oil analysis of the data results, the use of intelligent information processing technology to extract and process equipment, lubricating oil samples on the physical and chemical indicators of oil and other various types of data results, eigenvalue information on the monitored equipment inside Wear trend Automatic status monitoring and intelligent fault diagnosis, and at different levels to provide quantitative and concise form of trend reports and diagnostic reports, as a basis for decision making and judgments to help industrial sites or military units more efficient, accurate and systematic completion Equipment condition maintenance and predictive maintenance work