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Systems and methods for classifying in-situ sensor response data patterns representative of grid pathology severity

  • US 10,698,371 B2
  • Filed: 07/14/2015
  • Issued: 06/30/2020
  • Est. Priority Date: 07/17/2014
  • Status: Active Grant
First Claim
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1. A computer-implemented method for determining the effects of signal injections on sensor responses, comprising the following steps executed by a processor:

  • implementing a first signal injection on a utility grid, wherein the first signal injection is a first change in a state of a grid control;

    implementing a second signal injection on the utility grid, wherein the second signal injection is a second change in the state of the grid control;

    receiving first sensor data from a first sensor;

    receiving second sensor data from a second sensor;

    receiving a first spatial reach for the first signal injection, wherein the first spatial reach is a first area over which sensors will show a first response to the first signal injection;

    receiving a first temporal reach for the first signal injection, wherein the first temporal reach is a first time period over which the first response will be observed;

    receiving a second spatial reach for the second signal injection, wherein the second spatial reach is a second area over which sensors will show a second response to the second signal injection;

    receiving a second temporal reach for the second signal injection, wherein the second temporal reach is a second time period over which the second response will be observed;

    coordinating the first and second signal injections such that the first spatial reach overlaps the second spatial reach, and the first temporal reach overlaps the second temporal reach;

    associating, using the processor, the first sensor data within the first spatial reach and within the first temporal reach with the first signal injection;

    associating, using the processor, the second sensor data within the second spatial reach and within the second temporal reach with the second signal injection; and

    updating a model of the first and second sensor response based on the associated first and second sensor data and the first and second signal injections, wherein the model maps the first and second sensor data to particular states, conditions, or events occurring at the first and second sensors in order to interpret outputs from the first and second sensors during operation of the utility grid.

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