公开(公告)号：US06636823B1

公开(公告)日：2003-10-21

申请号：US09409452

申请日：1999-09-30

Applicant: Peter J. Unsworth ,  Muslum Arkan

Inventor： Peter J. Unsworth ,  Muslum Arkan

IPC: G01R3100

CPC classification number: G01R31/343

Abstract: A method and apparatus for detecting a stator winding fault in an induction motor includes sampling instantaneous signals from the motor and then deriving sequence components of at least some of the instantaneous signals using a power decomposition technique (PDT), one of the sequence components being a total negative sequence current component. In addition, the method includes calculating an expected negative sequence current based on at least some of the sequence components. Thereafter, the method subtracts the expected negative sequence current from the total negative sequence current to determine a fault negative sequence current, wherein the fault negative sequence current is indicative of the fault. More preferably, the method additionally includes calculating an intrinsic motor negative sequence current based on at least some of the sequence components, and subtracting the intrinsic motor negative sequence current from the fault negative sequence current generated as described above to determine a modified fault negative sequence current. Notably, the method and apparatus are capable of detecting faults that cause a modified fault negative sequence current as low as approximately 0.2% of the full load current.

Abstract translation: 用于检测感应电动机中的定子绕组故障的方法和装置包括从电动机采集瞬时信号，然后使用功率分解技术（PDT）导出至少一些瞬时信号的序列分量，其中一个序列分量为 总负序电流分量。 另外，该方法包括基于至少一些序列分量来计算预期的负序电流。 此后，该方法从总负序电流中减去预期的负序电流，以确定故障负序电流，其中故障负序电流表示故障。 更优选地，该方法还包括基于至少一些序列分量来计算固有电动机负序电流，并且从如上所述产生的故障负序电流中减去固有电动机负序电流，以确定修正的故障负序电流 。 值得注意的是，该方法和装置能够检测导致修正的故障负序电流低至满负载电流的约0.2％的故障。

公开(公告)号：US07308322B1

公开(公告)日：2007-12-11

申请号：US09965545

申请日：2001-09-27

Applicant: Frederick M. Discenzo ,  Dukki Chung ,  Joseph K. Zevchek ,  Jan Bezdicek ,  Ondrej Flek ,  Bohumir Sladek ,  Petr Tusla ,  Jiri Ryba ,  Sarat Babu Vetcha ,  Peter J. Unsworth ,  Dragica Kostic Perovic ,  Srdjan Perovic ,  Muslum Arkan ,  Kenneth A. Loparo

Inventor： Frederick M. Discenzo ,  Dukki Chung ,  Joseph K. Zevchek ,  Jan Bezdicek ,  Ondrej Flek ,  Bohumir Sladek ,  Petr Tusla ,  Jiri Ryba ,  Sarat Babu Vetcha ,  Peter J. Unsworth ,  Dragica Kostic Perovic ,  Srdjan Perovic ,  Muslum Arkan ,  Kenneth A. Loparo

IPC: G05B13/02

CPC classification number: G05B23/0221 ,  G05B23/0229 ,  G05B23/0254

Abstract: Systems and methods are disclosed for controlling, diagnosing and prognosing the health of a motorized system. The systems may comprise a diagnostics system, a prognostic system and a controller, wherein the diagnostics system and/or prognostic system employs a neural network, an expert system, and/or a data fusion component in order to assess and/or prognose the health of the motorized system according to one or more attributes associated therewith. The controller may operate the motorized system in accordance with a setpoint and/or a diagnostics signal from the diagnostics system and/or prognostic information. Also disclosed are methodologies for controlling, diagnosing and prognosing the health of a motorized system, comprising operating a motor in the motorized system in a controlled fashion, diagnosing and/or prognosing the health of the motorized system according to a measured attribute associated with the motorized system, wherein the motor may be operated according to a setpoint and/or the diagnostics signal and/or prognosis.

Abstract translation: 公开了用于控制，诊断和预测机动系统的健康的系统和方法。 该系统可以包括诊断系统，预后系统和控制器，其中诊断系统和/或预测系统采用神经网络，专家系统和/或数据融合组件，以评估和/或预测健康 根据与其相关联的一个或多个属性的电动系统。 控制器可以根据来自诊断系统和/或预测信息的设定点和/或诊断信号来操作机动系统。 还公开了用于控制，诊断和预测机动系统的健康的方法，包括以受控的方式操作机动系统中的马达，根据与机动化系统相关联的测量属性诊断和/或预测机动系统的健康 系统，其中马达可以根据设定点和/或诊断信号和/或预后进行操作。