公开(公告)号：US08756181B2

公开(公告)日：2014-06-17

申请号：US13304758

申请日：2011-11-28

Applicant: Bin Lu ,  Ronald G. Harley ,  Liang Du ,  Yi Yang ,  Santosh K. Sharma ,  Prachi Zambare ,  Mayura A. Madane

Inventor： Bin Lu ,  Ronald G. Harley ,  Liang Du ,  Yi Yang ,  Santosh K. Sharma ,  Prachi Zambare ,  Mayura A. Madane

IPC: G06F17/30

CPC classification number: G06N3/088 ,  Y04S20/38

Abstract: 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.

Abstract translation: 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 。

公开(公告)号：US20130138669A1

公开(公告)日：2013-05-30

申请号：US13304783

申请日：2011-11-28

Applicant: BIN LU ,  Yi Yang ,  Santosh K. Sharma ,  Prachi Zambare ,  Mayura A. Madane

Inventor： BIN LU ,  Yi Yang ,  Santosh K. Sharma ,  Prachi Zambare ,  Mayura A. Madane

IPC: G06F17/30

CPC classification number: G06N3/088

Abstract: A method identifies electric load types of a plurality of different electric loads. The method includes providing a hierarchical load feature database having a plurality of layers; including with each of a plurality of the layers a corresponding load feature set, the corresponding load feature set of at least one of the layers being different from the corresponding load feature set of at least another one of the layers; including with one of the layers a plurality of different electric load types; sensing a voltage signal and a current signal for each of the different electric loads; determining at least four different load features from the sensed voltage signal and the sensed current signal for a corresponding one of the different electric loads; and identifying by a processor one of the different electric load types by relating the different load features to the hierarchical load feature database.

Abstract translation: 一种方法识别多个不同电负载的电负载类型。 该方法包括提供具有多个层的分层负载特征数据库; 包括多个层中的每一层具有相应的负载特征集合，所述层中的至少一个层的对应的负载特征集不同于所述层中的至少另一层的相应的负载特征集合; 包括其中一层具有多种不同的电负载类型; 感测每个不同电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确定至少四个不同的负载特征，用于相应的一个不同的电负载; 以及通过将不同的负载特征与分层负载特征数据库相关联，由处理器识别不同的电负载类型之一。

公开(公告)号：US08918346B2

公开(公告)日：2014-12-23

申请号：US13304834

申请日：2011-11-28

Applicant: Bin Lu ,  Yi Yang ,  Santosh K. Sharma ,  Prachi Zambare ,  Mayura A. Madane

Inventor： Bin Lu ,  Yi Yang ,  Santosh K. Sharma ,  Prachi Zambare ,  Mayura A. Madane

IPC: G06F15/18 ,  G06E1/02 ,  G06G7/10

CPC classification number: H02J13/00 ,  H02J3/00

Abstract: A method identifies electric load types of a plurality of different electric loads. The method includes providing a load feature database of a plurality of different electric load types, each of the different electric load types including a first load feature vector having at least four different load features; sensing a voltage signal and a current signal for each of the different electric loads; determining a second load feature vector comprising at least four different load features from the sensed voltage signal and the sensed current signal for a corresponding one of the different electric loads; and identifying by a processor one of the different electric load types by determining a minimum distance of the second load feature vector to the first load feature vector of the different electric load types of the load feature database.

Abstract translation: 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负载特征数据库，每种不同的电负载类型包括具有至少四个不同负载特征的第一负载特征向量; 感测每个不同电负载的电压信号和电流信号; 确定第二负载特征向量，其包括来自所感测的电压信号的至少四个不同的负载特征和用于所述不同电负载中的相应一个的感测的电流信号; 以及通过确定所述第二负载特征向量与所述负载特征数据库的不同电负载类型的所述第一负载特征向量的最小距离，由处理器识别所述不同电负载类型之一。

公开(公告)号：US20130138661A1

公开(公告)日：2013-05-30

申请号：US13304834

申请日：2011-11-28

Applicant: BIN LU ,  Yi Yang ,  Santosh K. Sharma ,  Prachi Zambare ,  Mayura A. Madane

Inventor： BIN LU ,  Yi Yang ,  Santosh K. Sharma ,  Prachi Zambare ,  Mayura A. Madane

IPC: G06F17/30

CPC classification number: H02J13/00 ,  H02J3/00

Abstract: A method identifies electric load types of a plurality of different electric loads. The method includes providing a load feature database of a plurality of different electric load types, each of the different electric load types including a first load feature vector having at least four different load features; sensing a voltage signal and a current signal for each of the different electric loads; determining a second load feature vector comprising at least four different load features from the sensed voltage signal and the sensed current signal for a corresponding one of the different electric loads; and identifying by a processor one of the different electric load types by determining a minimum distance of the second load feature vector to the first load feature vector of the different electric load types of the load feature database.

Abstract translation: 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负载特征数据库，每种不同的电负载类型包括具有至少四个不同负载特征的第一负载特征向量; 感测每个不同电负载的电压信号和电流信号; 确定第二负载特征向量，其包括来自所感测的电压信号的至少四个不同的负载特征和用于所述不同电负载中的相应一个的感测的电流信号; 以及通过确定所述第二负载特征向量与所述负载特征数据库的不同电负载类型的所述第一负载特征向量的最小距离，由处理器识别所述不同电负载类型之一。

公开(公告)号：US20130138651A1

公开(公告)日：2013-05-30

申请号：US13304758

申请日：2011-11-28

Applicant: BIN LU ,  Ronald G. Harley ,  Liang Du ,  Yi Yang ,  Santosh K. Sharma ,  Prachi Zambare ,  Mayura A. Madane

Inventor： BIN LU ,  Ronald G. Harley ,  Liang Du ,  Yi Yang ,  Santosh K. Sharma ,  Prachi Zambare ,  Mayura A. Madane

IPC: G06F17/30

CPC classification number: G06N3/088 ,  Y04S20/38

Abstract: 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.

Abstract translation: 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 。