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Real time data acquisition and analysis for load estimation in electrical motors

机译:实时数据采集和分析,以估计电动机的负载

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It has been found in the plant assessments that plant personnel are fairly uncertain about motor loading. The decisions about the motor sizing are based on judgment or easy slip method to avoid the hurdle of load determination methods. Accurate load determination methods involve working around high voltages hence have safety issues, are time consuming and also not economical. A method that is simple to use, economical, safe and fairly accurate is necessary, on which motor sizing decisions can be based. The paper aims at data acquisition and analysis for tackling this issue. Data was collected from fifteen facility energy audits by carrying out motor load monitoring with help of Amprobe™ data logger and DM Ⅱ Pro acquisition software as well as stroboscope method. Statistical analysis can be carried out to establish a relationship between them, so that prediction of actual load factor can be made based on the load factor obtained by slip method.
机译:在工厂评估中发现,工厂人员对于电机负载相当不确定。有关电动机尺寸的决策基于判断或易打滑方法,以避免负载确定方法的障碍。准确的负载确定方法涉及在高电压附近工作,因此存在安全问题,既费时又不经济。必须使用一种易于使用,经济,安全且相当准确的方法,以此为基础来确定电动机的尺寸。本文旨在解决该问题的数据获取和分析。通过使用Amprobe™数据记录仪和DMⅡPro采集软件以及频闪仪方法进行电动机负载监测,从15次设施能源审计中收集了数据。可以进行统计分析以建立它们之间的关系,从而可以基于通过滑移法获得的载荷因子来预测实际载荷因子。

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