SYSTEM AND METHOD FOR ADVANCED CONDITION MONITORING OF AN ASSET SYSTEM
First Claim
1. A method for advanced condition monitoring of an asset system, the method comprising the steps of:
- sensing actual values of an operating condition for an operating regime of the asset system using at least one sensor;
estimating sensed values of the operating condition by using an auto-associative neural network (AANN) of the actual values sensed by the at least one sensor;
determining a residual vector between the estimated sensed values and the actual values sensed by the at least one sensor;
performing a fault diagnostic on the residual vector; and
providing an alert if a change of the operation of the asset system has been determined.
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Abstract
A method for advanced condition monitoring of an asset system includes sensing actual values of an operating condition for an operating regime of the asset system using at least one sensor; estimating sensed values of the operating condition by using an auto-associative neural network; determining a residual vector between the estimated sensed values and the actual values; and performing a fault diagnostic on the residual vector. In another method, an operating space of the asset system is segmented into operating regimes; the auto-associative neural network determines estimates of actual measured values; a residual vector is determined from the auto-associative neural network; a fault diagnostic is performed on the residual vector; and a change of the operation of the asset system is determined by analysis of the residual vector. An alert is provided if necessary. A smart sensor system includes an on-board processing unit for performing the method of the invention.
40 Citations
19 Claims
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1. A method for advanced condition monitoring of an asset system, the method comprising the steps of:
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sensing actual values of an operating condition for an operating regime of the asset system using at least one sensor; estimating sensed values of the operating condition by using an auto-associative neural network (AANN) of the actual values sensed by the at least one sensor; determining a residual vector between the estimated sensed values and the actual values sensed by the at least one sensor; performing a fault diagnostic on the residual vector; and providing an alert if a change of the operation of the asset system has been determined. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 17, 18, 19)
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12. A method for advanced condition monitoring of an asset system, the method comprising the steps of:
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segmenting an operating space of an asset system into a plurality of operating regimes; using an auto-associative neural network (AANN) to determine estimates of actual values sensed by the at least one sensor; determining a residual vector between the estimated sensed values and the actual values sensed by the at least one sensor from the auto-associative neural network; performing a fault diagnostic on the residual vector; determining a change of the operation of the asset system by analysis of the residual vector; and providing an alert if the change of the operation of the asset system has been determined. - View Dependent Claims (13, 14, 15, 16)
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Specification