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Evaluating anomaly for one-class classifiers in machine condition monitoring

  • US 7,930,122 B2
  • Filed: 03/23/2009
  • Issued: 04/19/2011
  • Est. Priority Date: 12/07/2005
  • Status: Active Grant
First Claim
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1. A method for evaluating an anomaly measurement x′

  • in a machine condition monitoring system including a processor, wherein measurements xi are evaluated in a one-class classifier having a decision region R1 for the class C1 such that an evaluation function ƒ

    (x) is greater than or equal to a threshold T for a measurement x within the region, and less than the threshold T outside the region, the method comprising the steps of;

    training the one-class classifier to establish the decision region R1 from a set of training samples {x1, x2, . . . , xN};

    receiving the anomaly measurement x′

    ;

    determining that the anomaly measurement is outside the region R1;

    determining, using the processor, a distance from the measurement x′

    to a boundary of the region R1; and

    evaluating the anomaly measurement x′

    based on the distance;

    wherein the step of determining a distance from the measurement x′

    to the region R1 is performed iteratively.

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