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Method and system for early detection of incipient faults in electric motors

机译:早期检测电动机早期故障的方法和系统

摘要

A method and system for early detection of incipient faults in an electric motor are disclosed. First, current and voltage values for one or more phases of the electric motor are measured during motor operations. A set of current predictions is then determined via a neural network-based current predictor based on the measured voltage values and an estimate of motor speed values of the electric motor. Next, a set of residuals is generated by combining the set of current predictions with the measured current values. A set of fault indicators is subsequently computed from the set of residuals and the measured current values. Finally, a determination is made as to whether or not there is an incipient electrical, mechanical, and/or electromechanical fault occurring based on the comparison result of the set of fault indicators and a set of predetermined baseline values.
机译:公开了一种用于早期检测电动机中的早期故障的方法和系统。首先,在电动机运行期间测量电动机的一个或多个相的电流和电压值。然后,基于所测量的电压值和电动机的电动机速度值的估计,经由基于神经网络的电流预测器来确定一组电流预测。接下来,通过将一组电流预测与测得的电流值相结合,生成一组残差。随后从一组残差和测得的电流值中计算出一组故障指示器。最后,基于一组故障指示器和一组预定基线值的比较结果,确定是否发生了初期的电气,机械和/或机电故障。

著录项

  • 公开/公告号US2003067277A1

    专利类型

  • 公开/公告日2003-04-10

    原文格式PDF

  • 申请/专利权人 TEXAS A&M UNIVERSITY SYSTEM;

    申请/专利号US20020207105

  • 发明设计人 ALEXANDER G. PARLOS;KYUSUNG KIM;

    申请日2002-07-29

  • 分类号H02P1/18;

  • 国家 US

  • 入库时间 2022-08-22 00:08:10

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