US 12,229,688 B2
System and method for predicting failure of components using temporal scoping of sensor data
Younghun Kim, Pleasantville, NY (US); Guruprasad Srinivasan, Bangalore (IN); and Tarun Kumar, Chappaqua, NY (US)
Assigned to Utopus Insights, Inc., Valhalla, NY (US)
Filed by Utopus Insights, Inc., Valhalla, NY (US)
Filed on Apr. 18, 2023, as Appl. No. 18/302,208.
Application 18/302,208 is a continuation of application No. 16/231,160, filed on Dec. 21, 2018, granted, now 11,663,496.
Claims priority of provisional application 62/623,713, filed on Jan. 30, 2018.
Prior Publication US 2023/0252307 A1, Aug. 10, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06N 5/02 (2023.01); F03D 17/00 (2016.01); G06N 7/01 (2023.01); H02S 50/00 (2014.01)
CPC G06N 5/02 (2013.01) [F03D 17/00 (2016.05); G06N 7/01 (2023.01); H02S 50/00 (2013.01); F05B 2260/821 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A non-transitory computer readable medium comprising executable instructions, the executable instructions being executable by one or more processors to perform a method, the method comprising:
receiving first historical data of a first time period and failure data of the first time period, the first historical data including sensor data from one or more sensors of an electrical network;
identifying failure data of the first historical data that was generated by the one or more sensors of the electrical network during a first failure of a component of the electrical network during a failure indicated by a failure time period of the first time period;
removing the failure data from the first historical data to create filtered historical data;
training a classification model using the filtered historical data, the classification model indicating at least one first classified state of the electrical network at a second period of time prior to the first failure indicated by the failure data;
applying the classification model to second sensor data to identify a first potential failure state based on the at least one first classified state, the second sensor data being from the one or more sensors of the electrical network during a subsequent time period after the first time period;
generating an alert if the first potential failure state is identified based on at least a first subset of sensor signals generated during the subsequent time period; and
providing the alert.