Apparatus and method for analyzing model quality in a process control environment
First Claim
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1. A method, comprising:
- identifying a signal and a disturbance associated with a model, the signal and disturbance identified using historical data associated with one or more process variables;
decomposing the signal and the disturbance at a plurality of resolution levels;
extracting a plurality of data segments from the signal using the decomposed signal and the decomposed disturbance;
determining a quality of the model using the extracted data segments and at least a portion of the historical data; and
storing the quality of the model.
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Abstract
A method includes identifying a signal and a disturbance associated with a model. The signal and disturbance are identified using historical data associated with one or more process variables. The method also includes decomposing the signal and the disturbance at a plurality of resolution levels. The method further includes extracting a plurality of data segments from the signal using the decomposed signal and the decomposed disturbance. In addition, the method includes determining a quality of the model using the extracted data segments and at least a portion of the historical data.
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Citations
23 Claims
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1. A method, comprising:
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identifying a signal and a disturbance associated with a model, the signal and disturbance identified using historical data associated with one or more process variables; decomposing the signal and the disturbance at a plurality of resolution levels; extracting a plurality of data segments from the signal using the decomposed signal and the decomposed disturbance; determining a quality of the model using the extracted data segments and at least a portion of the historical data; and storing the quality of the model. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. An apparatus, comprising:
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at least one memory capable of storing historical data associated with one or more process variables; and at least one processor capable of; identifying a signal and a disturbance associated with a model using the historical data; decomposing the signal and the disturbance at a plurality of resolution levels; extracting a plurality of data segments from the signal using the decomposed signal and the decomposed disturbance; and determining a quality of the model using the extracted data segments and at least a portion of the historical data. - View Dependent Claims (14, 15, 16, 17, 18, 19)
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20. A computer program embodied on a computer readable medium, the computer program comprising computer readable program code for:
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identifying a signal and a disturbance associated with a model, the signal and disturbance identified using historical data associated with one or more process variables; decomposing the signal and the disturbance at a plurality of resolution levels; extracting a plurality of data segments from the signal using the decomposed signal and the decomposed disturbance; and determining a quality of the model using the extracted data segments and at least a portion of the historical data. - View Dependent Claims (21, 22, 23)
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Specification