×

Multi-layer anomaly detection framework

  • US 10,372,120 B2
  • Filed: 10/06/2016
  • Issued: 08/06/2019
  • Est. Priority Date: 10/06/2016
  • Status: Active Grant
First Claim
Patent Images

1. A method of determining an anomaly associated with an engine, the method comprising:

  • receiving, from the engine, a first plurality of time-series data associated with a first time period, wherein at least a portion of the first plurality of time-series data comprises first sensor measurements from a plurality of sensors for a plurality of cylinders of the engine, each of the plurality of sensors corresponding to a respective cylinder of the plurality of cylinders;

    automatically determining, via a processor, a normal operation of the engine based on the first plurality of time-series data, wherein the automatically determining of the normal operation comprises an unsupervised creation of one or more models based on the first plurality of time-series data and an aggregation of the first sensor measurements;

    receiving a second plurality of time-series data from the engine associated with a second time period, wherein at least a portion of the second plurality of time-series data comprises second sensor measurements from the plurality of sensors;

    automatically determining an anomaly in the second plurality of time-series data based on comparing the second plurality of time-series data with the normal operation of the engine to at least detect one or more deviations in the sensor measurements for individual sensors of the plurality of sensors.

View all claims
  • 2 Assignments
Timeline View
Assignment View
    ×
    ×