Evaluating anomaly for one-class classifiers in machine condition monitoring
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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Abstract
A method for monitoring machine conditions provides additional information using a one-class classifier in which an evaluation function is learned. In the method, a distance is determined from an anomaly measurement x to a boundary of a region R1 containing all acceptable measurements. The distance is used as a measure of the extent of the anomaly. The distance is found by searching along a line from the anomaly to a closest acceptable measurement within the region R1.
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Citations
6 Claims
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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; andevaluating 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. - View Dependent Claims (2, 3)
- 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
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4. A non-transitory computer-usable medium having computer readable instructions stored thereon for execution by a processor to perform a method evaluating an anomaly measurement x′
- in a machine condition monitoring system 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 a distance from the measurement x′
to a boundary of the region R1; andevaluating 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. - View Dependent Claims (5, 6)
- in a machine condition monitoring system 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
Specification