Power plant system fault diagnosis by learning historical system failure signatures
First Claim
1. A computer-implemented method for power plant system fault diagnosis, the method comprising:
- detecting, by a processor using an invariant model, a fault event based on a broken pair-wise correlation;
constructing, by the processor, a fault signature based on the fault event;
generating, by the processor, a feature vector in a feature subspace for the fault signature, wherein said feature vector includes at least one status of at least one system component during the fault event;
determining, by the processor, a corrective action correlated to the fault signature, from among a plurality of candidate corrective actions associated with the one or more historical representative signature, based on a Jaccard similarity using the feature vector in the feature subspace; and
initiating, by the processor, the corrective action on a hardware device to mitigate expected harm to at least one item selected from the group consisting of the hardware device, another hardware device related to the hardware device, and a person related to the hardware device.
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Abstract
A method, computer program product, and a system is provided for power plant system fault diagnosis. The method includes detecting, using an invariant model, a fault event based on a broken pair-wise correlation. The method also includes constructing a fault signature based on the fault event. The method further includes generating a feature vector in a feature subspace for the fault signature, wherein said feature vector includes at least one status of at least one system component during the fault event. The method additionally includes determining a corrective action correlated to the fault signature, from among a plurality of candidate corrective actions associated with the one or more historical representative signature, based on a Jaccard similarity using the feature vector in the feature subspace. The method also includes initiating the corrective action on a hardware device to mitigate expected harm.
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Citations
20 Claims
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1. A computer-implemented method for power plant system fault diagnosis, the method comprising:
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detecting, by a processor using an invariant model, a fault event based on a broken pair-wise correlation; constructing, by the processor, a fault signature based on the fault event; generating, by the processor, a feature vector in a feature subspace for the fault signature, wherein said feature vector includes at least one status of at least one system component during the fault event; determining, by the processor, a corrective action correlated to the fault signature, from among a plurality of candidate corrective actions associated with the one or more historical representative signature, based on a Jaccard similarity using the feature vector in the feature subspace; and initiating, by the processor, the corrective action on a hardware device to mitigate expected harm to at least one item selected from the group consisting of the hardware device, another hardware device related to the hardware device, and a person related to the hardware device. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A computer program product for power plant system fault diagnosis, the computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform a method comprising:
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detecting, using an invariant model, a fault event based on a broken pair-wise correlation; constructing a fault signature based on the fault event; generating a feature vector in a feature subspace for the fault signature, wherein said feature vector includes at least one status of at least one system component during the fault event; determining a corrective action correlated to the fault signature, from among a plurality of candidate corrective actions associated with the one or more historical representative signature, based on a Jaccard similarity using the feature vector in the feature subspace; and initiating the corrective action on a hardware device to mitigate expected harm to at least one item selected from the group consisting of the hardware device, another hardware device related to the hardware device, and a person related to the hardware device.
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12. A power plant fault diagnosis system, comprising:
a detection network coupled to a processor, the processor configured to; detect, using an invariant model, a fault event based on a broken pair-wise correlation; construct a fault signature based on the fault event; generate a feature vector in a feature subspace for the fault signature, wherein said feature vector includes at least one status of at least one system component during the fault event; determine a corrective action correlated to the fault signature, from among a plurality of candidate corrective actions associated with the one or more historical representative signature, based on a Jaccard similarity using the feature vector in the feature subspace; and initiate the corrective action on a hardware device to mitigate expected harm to at least one item selected from the group consisting of the hardware device, another hardware device related to the hardware device, and a person related to the hardware device. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20)
Specification