公开(公告)号：US09678120B2

公开(公告)日：2017-06-13

申请号：US14142767

申请日：2013-12-28

Applicant: Intel Corporation

Inventor： James Y. Song ,  Tomm V. Aldridge ,  Pranav K. Sanghadia

IPC: H04L12/10 ,  G01R29/00 ,  G01R19/25 ,  G01R21/133 ,  G06Q50/06

CPC classification number: G01R19/2513 ,  G01R21/133 ,  G06Q50/06

Abstract: Methods and systems may provide for receiving a set of voltage samples corresponding to a line voltage of a leg in an electrical system and conducting a time domain analysis to identify one or more loads in the electrical system. Additionally, the time domain analysis may be used to identify one or more loads in the electrical system. In one example, conducting the time domain analysis involves classifying events with respect to cross correlation, shape magnitude, transient amplitude, transient duration, run delta and/or standard deviation.

公开(公告)号：US09606154B2

公开(公告)日：2017-03-28

申请号：US14142766

申请日：2013-12-28

Applicant: Intel Corporation

Inventor： James Y. Song ,  Shiraz Saleem ,  Tomm V. Aldridge

IPC: G01R19/00 ,  G01R21/133 ,  G06N99/00 ,  G01R19/25

CPC classification number: G01R21/133 ,  G01R19/2513 ,  G06N99/005

Abstract: Methods and systems may provide for identifying, and distinguishing between electrical loads using time and frequency domain analysis of at least one property of an alternating current during a transient event. In one example, time and frequency domain features may be computed from the voltage signatures of an ON event. A support vector machine classifier may then be trained using the feature vectors (including the time and frequency domain features) for known devices. The trained support vector machine may classify or identify an unknown electrical device using a feature vector as input.