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Methods for Trending Wear Levels in Grease Lubricated Equipment

机译:润滑脂润滑设备磨损水平的方法

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Oil analysis is well established as a routine tool to optimize maintenance activities, improve reliability and equipment life and prevent component failures. As part of a comprehensive Predictive or Condition Based Maintenance program, lubricant analysis is an effective complement to other diagnostic technologies such as vibration analysis, infrared thermography, ultrasonic detection and motor circuit evaluation. However, when the equipment is grease lubricated rather than oil lubricated, the important lubricant analysis piece is usually left out of the mix. However, new tools have been developed for improved sampling techniques and grease analysis tests to allow the inclusion of lubricant analysis for grease lubricated equipment. This paper will discuss the challenges and options to obtain representative and consistent grease samples from motors, motor operated valves, and other critical equipment, and the use of a hall-effect sensor device for reliably and repeatably determining changes in wear levels for samples of grease as small as 1 gram.
机译:石油分析很好地确定为常规工具,以优化维护活动,提高可靠性和设备寿命,防止部件故障。作为基于综合预测或条件的维护程序的一部分,润滑剂分析是对其他诊断技术的有效补充,如振动分析,红外热成像,超声波检测和电机回路评估。然而,当设备润滑而不是油润滑时,重要的润滑剂分析片通常留出混合。然而,已经开发了用于改进的采样技术和润滑脂分析试验的新工具,以包括润滑剂分析对润滑脂润滑设备。本文将讨论从电动机,电机操作阀和其他关键设备获得代表性和一致的润滑脂样品的挑战和选择,以及使用霍尔效应传感器装置可靠和重复地确定润滑脂样品的磨损水平的变化小到1克。

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