Surveillance system and method having an operating mode partitioned fault classification model
First Claim
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1. An asset surveillance system, comprising in combination:
- an operating mode partitioned fault classification model of an asset comprised of a plurality of fault classification submodels each having an asset operating mode associated thereto;
a fault indication means for determining one or more fault indications given a set of observed asset signals from the asset;
means for determining at least one operating mode of the asset for the set of observed asset signals;
a first selection means for selecting at least one of the fault classification submodels from the operating mode partitioned fault classification model as a function of at least the one determined operating mode for providing a fault classification of determined fault indications for performing asset surveillance.
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Abstract
A system and method which partitions a parameter estimation model, a fault detection model, and a fault classification model for a process surveillance scheme into two or more coordinated submodels together providing improved diagnostic decision making for at least one determined operating mode of an asset.
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Citations
32 Claims
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1. An asset surveillance system, comprising in combination:
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an operating mode partitioned fault classification model of an asset comprised of a plurality of fault classification submodels each having an asset operating mode associated thereto;
a fault indication means for determining one or more fault indications given a set of observed asset signals from the asset;
means for determining at least one operating mode of the asset for the set of observed asset signals;
a first selection means for selecting at least one of the fault classification submodels from the operating mode partitioned fault classification model as a function of at least the one determined operating mode for providing a fault classification of determined fault indications for performing asset surveillance. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. An asset surveillance method, the steps including:
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creating an operating mode partitioned fault classification model comprised of a plurality of fault classification submodels each having an asset operating mode associated thereto acquiring a set of observed signal data values from an asset;
determining at least one fault indication as a function of the observed signal data values;
determining at least one operating mode of the asset for the set of observed asset signals;
selecting at least one fault classification submodel from the operating mode partitioned fault classification model as a function of at least the one determined operating mode, and using at least the one fault indication and at least the one selected fault classification submodel for classifying faults for performing asset surveillance. - View Dependent Claims (13, 14, 15, 16, 17)
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18. An asset surveillance method, the steps including:
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partitioning a decision model into a plurality of partitions, each partition having an operating mode associated thereto;
employing a plurality of different methods from a plurality of parameter estimation methods, a plurality of fault detection methods, and a plurality of fault classification methods for different partitions;
determining at least one operating mode of an asset;
selecting at least one the plurality of partitions as a function of the determined operating mode for tailoring the plurality of parameter estimation methods, the plurality of fault detection methods, and the plurality of fault classification methods for asset surveillance as a function of the at least one determined operating mode. - View Dependent Claims (19, 20, 21, 22, 23)
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24. An asset surveillance method, the steps including:
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acquiring a set of observed signal data values from an asset;
producing a calculated set of estimated signal data values correlative to the set of observed signal data values acquired from the asset;
comparing the set of observed signal data values to the calculated set of estimated signal data values;
determining a presence of a disagreement between the set of observed signal data values and the calculated set of estimated signal data values on the basis of the comparison step, and determining a cause of a determined presence of disagreement between the set of observed signal data values and the calculated set of estimated signal data values for performing asset surveillance. - View Dependent Claims (25, 26)
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27. An asset surveillance method, the steps including:
- a method for determining asset status includes the steps of;
creating a fault detection model comprised of a plurality of fault detection submodels each having an operating mode associated thereto;
creating a fault classification model comprised of a plurality of fault classification submodels each having an operating mode associated thereto;
acquiring a set of observed signal data values from an asset;
determining at least one operating mode of the asset for the set of observed signal data values;
selecting at least one fault detection submodel from the fault detection model as a function of at least the one determined operating mode;
determining at least one fault indication as a function of the observed signal data values;
selecting at least one fault classification submodel from the fault classification model as a function of at least the one determined operating mode, and using at least the one fault indication and at least the one selected fault classification submodel for classifying faults for performing asset surveillance. - View Dependent Claims (28, 29, 30, 31)
- a method for determining asset status includes the steps of;
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32. An asset surveillance system, comprising in combination:
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a parameter estimation model comprised of a plurality of parameter estimation submodels each having an operating mode associated thereto;
a fault detection model comprised of a plurality of fault detection submodels each having an operating mode associated thereto;
a fault classification model comprised of a plurality of fault classification submodels each having an operating mode associated thereto;
means for acquiring a set of observed signal data values from an asset;
means for determining at least one operating mode of the asset for the set of observed signal data values;
means for selecting at least one parameter estimation submodel from the parameter estimation model as a function of at least the one determined operating mode;
means for calculating a set of estimated signal values from at least one selected parameter estimation submodel;
means for selecting at least one fault detection submodel from the fault classification model as a function of at least the one determined operating mode;
means for determining at least one fault indication as a function of the estimated signal values and observed signal data values;
means for selecting at least one fault classification submodel from the fault classification model as a function of at least the one determined operating mode, and means for using at least the one fault indication and at least the one selected fault classification submodel for classifying faults for performing asset surveillance.
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Specification