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MASS FLOW AND PARTICLE SIZE MONITORING OF PULVERISED FUEL VERTICAL SPINDLE MILLS

机译:粉末燃料立式主轴粉碎机的质量流量和颗粒尺寸监控

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The first step towards condition based maintenance of the milling plant is the implementation of online condition monitoring of the mill. The following paper presents and analyses methods of monitoring the key performance factors of a vertical spindle mill that is suited for implementation on older power stations, i.e. the quantity (mass flow rate) and quality (particle fineness) of the pulverised fuel produced by the mill. It is shown herein that the mill throughput can be monitored on-line using a simple mill energy balance that successfully predicts the coal throughput within 2.33% as compared to a calibrated coal feeder. A sensitivity analysis reveals that the coal moisture is a critical measurement for this method to be adopted as an on-line mass flow monitoring tool. A laser based particle size analyser tool was tested for use in the power plant environment as an online monitoring solution to measure pulverised fuel fineness. It was revealed that several factors around the set-up and operation of the instrument have an influence on the perceived results. Although the instrument showed good precision and repeatability of results, these factors must be taken into account in order to improve the accuracy of the reported results before the instrument can be commissioned as an on-line monitoring solution.
机译:进行基于状态的铣刨厂维护的第一步是对轧机进行在线状态监控。以下论文介绍并分析了监视立式主轴磨机的关键性能因素的方法,这些因素适用于较旧的电站,即磨机生产的粉状燃料的数量(质量流量)和质量(颗粒细度) 。在此示出,可以使用简单的磨机能量平衡在线地监测磨机的生产量,该磨机能量平衡与校准的给煤机相比成功地预测了煤的生产量在2.33%以内。敏感性分析表明,煤水分是该方法的关键指标,该方法将被用作在线质量流量监测工具。测试了基于激光的粒度分析仪工具,以在电厂环境中用作测量粉状燃料细度的在线监控解决方案。结果表明,围绕仪器的设置和操作的几个因素会影响感知的结果。尽管仪器显示出良好的精度和结果可重复性,但是在将仪器作为在线监测解决方案进行调试之前,必须考虑这些因素,以提高报告结果的准确性。

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