ASSET DEGRADATION MODEL BASELINENING SYSTEM AND METHOD
First Claim
1. A system, comprising:
- a model-based control system configured to;
receive data relating to one or more parameters of a machinery via a plurality of sensors coupled to the machinery;
select one or more models configured to generate a desired parameter of the machinery based on a determined relationship between the one or more parameters and the desired parameter, wherein the one or more models represent a performance of a device of the machinery;
generate the desired parameter using the data and the one or more models;
control a plurality of actuators coupled to the machinery based on the desired parameter;
empirically tune the one or more models based on the data, the one or more parameters, and the desired parameter;
compare the empirical tuning to a baseline tuning; and
determine an operational state of the device based on the comparison.
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Accused Products
Abstract
A system includes a model-based control system configured to receive data relating to parameters of a machinery via a plurality of sensors coupled to the machinery and select one or more models configured to generate a desired parameter of the machinery based on a determined relationship between the parameters and the desired parameter. The one or more models represent a performance of a device of the machinery. The model-based control system is configured to generate the desired parameter using the data and the one or more models control a plurality of actuators coupled to the machinery based on the desired parameter. Further, the model-based control system is configured to empirically tune the one or more models based on the data, the one or more parameters, and the desired parameter, compare the empirical tuning to a baseline tuning, and determine an operational state of the device based on the comparison.
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Citations
20 Claims
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1. A system, comprising:
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a model-based control system configured to; receive data relating to one or more parameters of a machinery via a plurality of sensors coupled to the machinery; select one or more models configured to generate a desired parameter of the machinery based on a determined relationship between the one or more parameters and the desired parameter, wherein the one or more models represent a performance of a device of the machinery; generate the desired parameter using the data and the one or more models; control a plurality of actuators coupled to the machinery based on the desired parameter; empirically tune the one or more models based on the data, the one or more parameters, and the desired parameter; compare the empirical tuning to a baseline tuning; and determine an operational state of the device based on the comparison. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method, comprising:
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receiving data from a plurality of sensors coupled to machinery configured to produce power, the data corresponding to one or more parameters of the machinery; selecting one or more models configured to generate a desired parameter of the machinery based on a determined relationship between the one or more parameters and the desired parameter, the one or more models representing a performance of a device of the machinery; generating the desired parameter using the data and the one or more models; performing regression analysis to update the one or more models using the data, the one or more models, and the desired parameter, wherein performing the regression analysis comprises calculating one or more coefficients; comparing the updated one or more models, the one or more coefficients, or any combination thereof to a baseline tuning; determining an operational state of the device based on the comparison. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A non-transitory, computer-readable medium comprising computer executable code comprising instructions configured to:
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receive one or more parameters of a machinery configured to produce power, one or more desired parameters of the machinery, and one or more models that represent a determined relationship between the one or more parameters and the one or more desired parameters and a performance of one or more devices of the machinery; perform regression analysis to determine one or more coefficients to apply to the one or more models and adjust the one or more models using the one or more parameters, the one or more desired parameters, and the one or more models; compare the one or more adjusted models, the one or more coefficients, or any combination thereof to a baseline model, a baseline set of coefficients, or any combination thereof; determine an operational state of the one or more devices based on the comparison; adjust the baseline model, the baseline set of coefficients, or any combination thereof based on a result of the regression analysis; store the adjusted one or more models, the one or more coefficients, the adjusted baseline model, the adjusted baseline set of coefficients, or any combination thereof. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification