Surveillance system and method having an adaptive sequential probability fault detection test
First Claim
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1. A method for performing surveillance an asset, the steps including:
- acquiring residual data correlative to expected asset operation;
fitting a mathematical model to the acquired residual data and storing the mathematical model in a memory means;
collecting a current set of observed signal data values from the asset;
using the mathematical model in a sequential hypotheses test performed as a function of at least one of the observed signal data values for detecting a fault condition; and
determining if a detected fault condition is indicative of an actual presence of a fault for providing asset surveillance.
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Abstract
System and method providing surveillance of an asset such as a process and/or apparatus by providing training and surveillance procedures that numerically fit a probability density function to an observed residual error signal distribution that is correlative to normal asset operation and then utilizes the fitted probability density function in a dynamic statistical hypothesis test for providing improved asset surveillance.
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Citations
20 Claims
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1. A method for performing surveillance an asset, the steps including:
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acquiring residual data correlative to expected asset operation; fitting a mathematical model to the acquired residual data and storing the mathematical model in a memory means; collecting a current set of observed signal data values from the asset; using the mathematical model in a sequential hypotheses test performed as a function of at least one of the observed signal data values for detecting a fault condition; and determining if a detected fault condition is indicative of an actual presence of a fault for providing asset surveillance. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for performing surveillance of an asset, the steps including:
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acquiring residual data correlative to expected asset operation; fitting a mathematical model to the acquired residual data and storing the mathematical model in a memory means; collecting a current set of observed signal data values from the asset; using the mathematical model in a sequential hypotheses test performed as a function of at least one of the observed signal data values for determining indices correlative to asset status; evaluating the indices for detecting a fault condition; and determining if a detected fault condition is indicative of an actual presence of a fault for providing asset surveillance. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19)
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20. A method for performing surveillance of an asset, the steps including:
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acquiring residual data correlative to expected asset operation; fitting a mathematical model to the acquired residual data and storing the mathematical model in a memory means; collecting a current set of observed signal data values from the asset; using the mathematical model in a sequential hypotheses test performed as a function of at least one of the observed signal data values for determining a time series of indices correlative to asset status; evaluating the time series of indices for detecting a fault condition; and determining if a detected fault condition is indicative of an actual presence of a fault for providing asset surveillance.
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Specification