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1. 发明申请

US20140067299A1 SYSTEM AND METHOD FOR ELECTRIC LOAD IDENTIFICATION AND CLASSIFICATION EMPLOYING SUPPORT VECTOR MACHINE 审中-公开
标题翻译：使用支持向量机的电力负载识别和分类系统与方法
公开(公告)号：US20140067299A1
公开(公告)日：2014-03-06
申请号：US13597324
申请日：2012-08-29
申请人： BIN LU , Ronald G. Harley , Liang Du , Yi Yang , Santosh K. Sharma , Prachi S. Zambare , Mayura A. Madane
发明人： BIN LU , Ronald G. Harley , Liang Du , Yi Yang , Santosh K. Sharma , Prachi S. Zambare , Mayura A. Madane
IPC分类号： G06F19/00 , G01R27/00 , G01R21/06 , G01R19/00 , G01R19/02
CPC分类号： G06K9/00536 , G06K9/0053 , Y04S20/38
摘要： A method identifies electric load types of a plurality of different electric loads. The method includes providing a support vector machine load feature database of a plurality of different electric load types; sensing a voltage signal and a current signal for each of the different electric loads; determining a load feature vector including at least six steady-state features with a processor from the sensed voltage signal and the sensed current signal; and identifying one of the different electric load types by relating the load feature vector including the at least six steady-state features to the support vector machine load feature database.
摘要翻译：一种方法识别多个不同电负载的电负载类型。该方法包括提供多种不同电负载类型的支持向量机负载特征数据库; 感测每个不同电负载的电压信号和电流信号; 根据感测到的电压信号和感测到的电流信号，确定包括至少六个稳态特征的负载特征向量与处理器; 以及通过将包括所述至少六个稳态特征的所述负载特征向量与所述支持向量机负载特征数据库相关联来识别不同的电负载类型之一。

2. 发明授权

US10325150B2 System and method for electric load identification and classification employing support vector machine 有权
公开(公告)号：US10325150B2
公开(公告)日：2019-06-18
申请号：US13597324
申请日：2012-08-29
申请人： Bin Lu , Ronald G. Harley , Liang Du , Yi Yang , Santosh K. Sharma , Prachi S. Zambare , Mayura A. Madane
发明人： Bin Lu , Ronald G. Harley , Liang Du , Yi Yang , Santosh K. Sharma , Prachi S. Zambare , Mayura A. Madane
IPC分类号： G06F11/30 , G06K9/00
摘要： A method identifies electric load types of a plurality of different electric loads. The method includes providing a support vector machine load feature database of a plurality of different electric load types; sensing a voltage signal and a current signal for each of the different electric loads; determining a load feature vector including at least six steady-state features with a processor from the sensed voltage signal and the sensed current signal; and identifying one of the different electric load types by relating the load feature vector including the at least six steady-state features to the support vector machine load feature database.

3. 发明授权

US08756181B2 System and method employing a self-organizing map load feature database to identify electric load types of different electric loads 有权
标题翻译：系统和方法采用自组织映射负载特征数据库来识别不同电负载的电负载类型
公开(公告)号：US08756181B2
公开(公告)日：2014-06-17
申请号：US13304758
申请日：2011-11-28
申请人： Bin Lu , Ronald G. Harley , Liang Du , Yi Yang , Santosh K. Sharma , Prachi Zambare , Mayura A. Madane
发明人： Bin Lu , Ronald G. Harley , Liang Du , Yi Yang , Santosh K. Sharma , Prachi Zambare , Mayura A. Madane
IPC分类号： G06F17/30
CPC分类号： G06N3/088 , Y04S20/38
摘要： A method identifies electric load types of a plurality of different electric loads. The method includes providing a self-organizing map load feature database of a plurality of different electric load types and a plurality of neurons, each of the load types corresponding to a number of the neurons; employing a weight vector for each of the neurons; sensing a voltage signal and a current signal for each of the loads; determining a load feature vector including at least four different load features from the sensed voltage signal and the sensed current signal for a corresponding one of the loads; and identifying by a processor one of the load types by relating the load feature vector to the neurons of the database by identifying the weight vector of one of the neurons corresponding to the one of the load types that is a minimal distance to the load feature vector.
摘要翻译：一种方法识别多个不同电负载的电负载类型。该方法包括提供多个不同电负载类型和多个神经元的自组织映射负载特征数据库，每个负载类型对应于多个神经元; 对每个神经元采用权重向量; 感测每个负载的电压信号和电流信号; 从所感测的电压信号和所感测的电流信号中确定负载特征矢量，所述载荷特征矢量包括至少四个不同的负载特征，用于对应的一个负载; 以及通过将负载特征向量与数据库的神经元相关联来识别负载类型之一，通过识别对应于与负载特征向量的最小距离的一个负载类型的一个神经元的权重向量，来由处理器识别负载类型之一。

4. 发明申请

US20130138651A1 SYSTEM AND METHOD EMPLOYING A SELF-ORGANIZING MAP LOAD FEATURE DATABASE TO IDENTIFY ELECTRIC LOAD TYPES OF DIFFERENT ELECTRIC LOADS 有权
标题翻译：使用自组织地图负载特征数据库识别不同电力负载的电力负载类型的系统和方法
公开(公告)号：US20130138651A1
公开(公告)日：2013-05-30
申请号：US13304758
申请日：2011-11-28
申请人： BIN LU , Ronald G. Harley , Liang Du , Yi Yang , Santosh K. Sharma , Prachi Zambare , Mayura A. Madane
发明人： BIN LU , Ronald G. Harley , Liang Du , Yi Yang , Santosh K. Sharma , Prachi Zambare , Mayura A. Madane
IPC分类号： G06F17/30
CPC分类号： G06N3/088 , Y04S20/38
摘要： A method identifies electric load types of a plurality of different electric loads. The method includes providing a self-organizing map load feature database of a plurality of different electric load types and a plurality of neurons, each of the load types corresponding to a number of the neurons; employing a weight vector for each of the neurons; sensing a voltage signal and a current signal for each of the loads; determining a load feature vector including at least four different load features from the sensed voltage signal and the sensed current signal for a corresponding one of the loads; and identifying by a processor one of the load types by relating the load feature vector to the neurons of the database by identifying the weight vector of one of the neurons corresponding to the one of the load types that is a minimal distance to the load feature vector.
摘要翻译：一种方法识别多个不同电负载的电负载类型。该方法包括提供多个不同电负载类型和多个神经元的自组织映射负载特征数据库，每个负载类型对应于多个神经元; 对每个神经元采用权重向量; 感测每个负载的电压信号和电流信号; 从所感测的电压信号和所感测的电流信号中确定负载特征矢量，所述载荷特征矢量包括至少四个不同的负载特征，用于对应的一个负载; 以及通过将负载特征向量与数据库的神经元相关联来识别负载类型之一，通过识别对应于与负载特征向量的最小距离的负载类型之一的神经元中的一个的权重向量来识别处理器之一。

5. 发明申请

US20080300827A1 SYSTEM AND METHOD TO DETERMINE ELECTRIC MOTOR EFFICIENCY NONINTRUSIVELY 有权
标题翻译：确定电机效率非系统性的系统和方法
公开(公告)号：US20080300827A1
公开(公告)日：2008-12-04
申请号：US12132151
申请日：2008-06-03
申请人： Bin Lu , Thomas G. Habetler , Ronald G. Harley
发明人： Bin Lu , Thomas G. Habetler , Ronald G. Harley
IPC分类号： G01R31/34
CPC分类号： G01R31/343 , H02P23/14
摘要： A system and method for nonintrusively determining electric motor efficiency includes a processor programmed to, while the motor is in operation, determine a plurality of stator input currents, electrical input data, a rotor speed, a value of stator resistance, and an efficiency of the motor based on the determined rotor speed, the value of stator resistance, the plurality of stator input currents, and the electrical input data. The determination of the rotor speed is based on one of the input power and the plurality of stator input currents. The determination of the value of the stator resistance is based on at least one of a horsepower rating and a combination of the plurality of stator input currents and the electrical input data. The electrical input data includes at least one of an input power and a plurality of stator input voltages.
摘要翻译：用于非侵入性地确定电动机效率的系统和方法包括：处理器，被编程为在电动机处于运行状态时，确定多个定子输入电流，电输入数据，转子速度，定子电阻值，以及电机基于确定的转子速度，定子电阻值，多个定子输入电流和电气输入数据。转子速度的确定基于输入功率和多个定子输入电流之一。定子电阻的值的确定基于马力额定值和多个定子输入电流和电输入数据的组合中的至少一个。电输入数据包括输入功率和多个定子输入电压中的至少一个。

6. 发明授权

US07777516B2 System and method for bearing fault detection using stator current noise cancellation 有权
标题翻译：使用定子电流噪声抵消进行故障检测的系统和方法
公开(公告)号：US07777516B2
公开(公告)日：2010-08-17
申请号：US12132056
申请日：2008-06-03
申请人： Wei Zhou , Bin Lu , Thomas G. Habetler , Ronald G. Harley , Peter J. Theisen
发明人： Wei Zhou , Bin Lu , Thomas G. Habetler , Ronald G. Harley , Peter J. Theisen
IPC分类号： G01R31/34
CPC分类号： G01M13/04 , G01R31/343
摘要： A system and method for detecting incipient mechanical motor faults by way of current noise cancellation is disclosed. The system includes a controller configured to detect indicia of incipient mechanical motor faults. The controller further includes a processor programmed to receive a baseline set of current data from an operating motor and define a noise component in the baseline set of current data. The processor is also programmed to repeatedly receive real-time operating current data from the operating motor and remove the noise component from the operating current data in real-time to isolate any fault components present in the operating current data. The processor is then programmed to generate a fault index for the operating current data based on any isolated fault components.
摘要翻译：公开了一种通过电流噪声消除来检测初始机械电机故障的系统和方法。该系统包括被配置为检测初始机械电动机故障的标记的控制器。控制器还包括处理器，其被编程为从操作马达接收当前数据的基线集合，并且定义当前数据的基线集合中的噪声分量。处理器也被编程为重复地接收来自操作电机的实时工作电流数据，并实时地从工作电流数据中去除噪声分量，以隔离存在于工作电流数据中的任何故障组件。然后处理器被编程为基于任何隔离的故障组件为工作电流数据生成故障索引。

7. 发明申请

US20080309366A1 System and method for bearing fault detection using stator current noise cancellation 有权
标题翻译：使用定子电流噪声抵消进行故障检测的系统和方法
公开(公告)号：US20080309366A1
公开(公告)日：2008-12-18
申请号：US12132056
申请日：2008-06-03
申请人： Wei Zhou , Bin Lu , Thomas G. Habetler , Ronald G. Harley , Peter J. Theisen
发明人： Wei Zhou , Bin Lu , Thomas G. Habetler , Ronald G. Harley , Peter J. Theisen
IPC分类号： G01R31/34
CPC分类号： G01M13/04 , G01R31/343
摘要： A system and method for detecting incipient mechanical motor faults by way of current noise cancellation is disclosed. The system includes a controller configured to detect indicia of incipient mechanical motor faults. The controller further includes a processor programmed to receive a baseline set of current data from an operating motor and define a noise component in the baseline set of current data. The processor is also programmed to repeatedly receive real-time operating current data from the operating motor and remove the noise component from the operating current data in real-time to isolate any fault components present in the operating current data. The processor is then programmed to generate a fault index for the operating current data based on any isolated fault components.
摘要翻译：公开了一种通过电流噪声消除来检测初始机械电机故障的系统和方法。该系统包括被配置为检测初始机械电动机故障的标记的控制器。控制器还包括处理器，其被编程为从操作马达接收当前数据的基线集合，并且定义当前数据的基线集合中的噪声分量。处理器也被编程为重复地接收来自操作电机的实时工作电流数据，并实时地从工作电流数据中去除噪声分量，以隔离存在于工作电流数据中的任何故障组件。然后处理器被编程为基于任何隔离的故障组件为工作电流数据生成故障索引。

8. 发明授权

US08010318B2 System and method to determine electric motor efficiency nonintrusively 有权
标题翻译：确定电动机效率的系统和方法
公开(公告)号：US08010318B2
公开(公告)日：2011-08-30
申请号：US12132151
申请日：2008-06-03
申请人： Bin Lu , Thomas G. Habetler , Ronald G. Harley
发明人： Bin Lu , Thomas G. Habetler , Ronald G. Harley
IPC分类号： G01R31/34 , G01R19/22 , H02K11/00
CPC分类号： G01R31/343 , H02P23/14
摘要： A system and method for nonintrusively determining electric motor efficiency includes a processor programed to, while the motor is in operation, determine a plurality of stator input currents, electrical input data, a rotor speed, a value of stator resistance, and an efficiency of the motor based on the determined rotor speed, the value of stator resistance, the plurality of stator input currents, and the electrical input data. The determination of the rotor speed is based on one of the input power and the plurality of stator input currents. The determination of the value of the stator resistance is based on at least one of a horsepower rating and a combination of the plurality of stator input currents and the electrical input data. The electrical input data includes at least one of an input power and a plurality of stator input voltages.
摘要翻译：用于非侵入性地确定电动机效率的系统和方法包括：处理器，被编程为在电动机运行时，确定多个定子输入电流，电输入数据，转子速度，定子电阻值，以及电机基于确定的转子速度，定子电阻值，多个定子输入电流和电气输入数据。转子速度的确定基于输入功率和多个定子输入电流之一。定子电阻的值的确定基于马力额定值和多个定子输入电流和电输入数据的组合中的至少一个。电输入数据包括输入功率和多个定子输入电压中的至少一个。

9. 发明授权

US06611771B1 Method and apparatus to detect a stator turn fault in an AC motor 有权
标题翻译：检测交流电机定子匝间故障的方法和装置
公开(公告)号：US06611771B1
公开(公告)日：2003-08-26
申请号：US09678982
申请日：2000-10-04
申请人： Thomas G. Habetler , David J. Gritter , Ronald G. Harley , Rangarajan M. Tallam
发明人： Thomas G. Habetler , David J. Gritter , Ronald G. Harley , Rangarajan M. Tallam
IPC分类号： G01R3134
CPC分类号： H02H1/0092 , G01R31/346 , H02H7/09
摘要： A stator turn fault detection system and method capable of real-time detection of a stator turn fault in an electric motor is provided. The stator turn fault detector includes a feed forward neural network that when trained, using fundamental frequency sequence components of the voltage and current supplying the electric motor, will estimate a fundamental frequency sequence component of current indicative of a stator turn fault. A method for detecting a stator turn fault in an electric motor as well as a method for training a feed forward neural network for use with the stator turn fault detector is disclosed.
摘要翻译：提供了一种能够实时检测电动机中的定子匝故障的定子匝故障检测系统和方法。定子匝故障检测器包括前馈神经网络，当训练时，使用提供电动机的电压和电流的基频分量，将估计指示定子匝故障的电流的基频分量。公开了一种用于检测电动机中的定子匝故障的方法以及用于训练与定子匝故障检测器一起使用的前馈神经网络的方法。

10. 发明授权

US07570074B2 Electronic overload relay for mains-fed induction motors 有权
标题翻译：用于馈电感应电机的电子过载继电器
公开(公告)号：US07570074B2
公开(公告)日：2009-08-04
申请号：US11125352
申请日：2005-05-09
申请人： Zhi Gao , Thomas G. Habetler , Ronald G. Harley , Roy Stephen Colby
发明人： Zhi Gao , Thomas G. Habetler , Ronald G. Harley , Roy Stephen Colby
IPC分类号： G01R31/34 , G01R31/28
CPC分类号： G01R31/343 , H02H6/005 , H02H7/085
摘要： An induction motor having a rotor and a stator is protected during running overloads by connecting the motor to an overload protection relay that can be tripped to interrupt power to the motor in the event of an overload, tracking the stator winding temperature of the motor during running overloads with a hybrid thermal model by online adjustment in the hybrid thermal model, and tripping the overload protection relay in response to a predetermined running overload condition represented by the tracked stator winding temperature. In one embodiment of the invention, the stator winding temperature is tracked by use of an online hybrid thermal model that uses the resistance of the rotor as an indicator of rotor temperature and thus of the thermal operating conditions of the motor. The hybrid thermal model incorporates rotor losses and heat transfer between the rotor and the stator, and approximates the thermal characteristics of the rotor and stator.
摘要翻译：具有转子和定子的感应电动机在运行过载期间通过将电动机连接到过载保护继电器而被保护，该过载保护继电器在过载的情况下可被跳闸以中断电动机的动力，跟踪电动机在运行期间的定子绕组温度通过混合热模型中的在线调整，利用混合热模型进行过载，并响应于由定子绕组温度跟踪的预定运行过载条件跳闸过载保护继电器。在本发明的一个实施例中，通过使用在线混合热模型来跟踪定子绕组温度，该在线混合热模型使用转子的电阻作为转子温度的指示器，并且因此用于电动机的热操作条件。混合热模型包括转子损耗和转子和定子之间的热传递，并且接近转子和定子的热特性。

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