Invention Grant
US08918346B2 System and method employing a minimum distance and a load feature database to identify electric load types of different electric loads
有权
采用最小距离的系统和方法和负载特征数据库来识别不同电力负载的电负荷类型
- Patent Title: System and method employing a minimum distance and a load feature database to identify electric load types of different electric loads
- Patent Title (中): 采用最小距离的系统和方法和负载特征数据库来识别不同电力负载的电负荷类型
-
Application No.: US13304834Application Date: 2011-11-28
-
Publication No.: US08918346B2Publication Date: 2014-12-23
- Inventor: Bin Lu , Yi Yang , Santosh K. Sharma , Prachi Zambare , Mayura A. Madane
- Applicant: Bin Lu , Yi Yang , Santosh K. Sharma , Prachi Zambare , Mayura A. Madane
- Applicant Address: US OH Cleveland
- Assignee: Eaton Corporation
- Current Assignee: Eaton Corporation
- Current Assignee Address: US OH Cleveland
- Agency: Eckert Seamans Cherin & Mellott, LLC
- Agent Kirk D. Houser; Philip E. Levy
- Main IPC: G06F15/18
- IPC: G06F15/18 ; G06E1/02 ; G06G7/10

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.
Public/Granted literature
Information query