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对于机器运行状态目前最有效的技术手段有两种:一种是振动分析法,可以敏锐地发现机器运行中的异常指标,另一种是机油磨粒磨损分析法,可直观地对机器零部件的磨损状态进行判断。振动和磨粒分析都只是反映了机器运行状态的某一侧面,为了能准确地反映机器运行状态的全貌,作为一个较全面的机器故障诊断系统,两者的结合是必要的。 美国恩泰克科学公司在已推出的预测维修PM系统的基础上,研制了综合振动和磨粒两种分析来监测评价机器运行状态的技术。其具体的实施方法法是:机器振动信息用数据采集器来采集,机器润滑油中的磨损粒子的信息用机油分析仪来采集。振动和磨粒这两种分析手段可以结合在一套预测维修系统中,用一台微型计算机和预测维修PM软件来进行分析、处理和综合这两方面所反映的机器信息。
There are currently two most effective technical means for the operation of the machine: one is the vibration analysis method, which can acutely detect abnormal indexes in the operation of the machine and the other is the oil abrasive wear analysis method, which can intuitively analyze the machine parts The state of wear judgment. Vibration and wear analysis are only some aspects of the machine running state, in order to accurately reflect the overall picture of the machine running state, as a more comprehensive machine fault diagnosis system, the combination of the two is necessary. On the basis of the predictive maintenance PM system that has been put forward by the United States, Entek Scientific Company has developed the technology of monitoring and evaluating the operating status of the machine by combining the two analyzes of vibration and abrasive particles. The specific implementation method is: machine vibration information collected by the data collector, the wear particles in the machine lubricant oil information collected by the analyzer. Both vibration and abrasive analysis tools can be combined in a predictive maintenance system with a microcomputer and predictive maintenance PM software to analyze, process and synthesize the machine information reflected in both.