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1.发明申请公开(公告)号：US20220026881A1
公开(公告)日：2022-01-27
申请号：US17443595
申请日：2021-07-27
发明人： Jacob LINDLEY , Miranda PIZZELLA , Jeremy QUANDT , Philip SCHMIDT , John BERGEN , Hanwen YUAN , Daniel GANDER
IPC分类号： G05B19/4155
摘要： A method of controlling a thermal system of an industrial process includes monitoring intermediate data, associating the intermediate data with correlation data, wherein the correlation data includes an internal process control input, an external heater control input, the output control, or a combination thereof. The method further includes generating a model that defines a relationship between the intermediate data and the correlation data, identifying a state of the heater system based on the model, and selectively performing a corrective action based on the identified state of the heater system.
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公开(公告)号：US20230203648A1
公开(公告)日：2023-06-29
申请号：US18116581
申请日：2023-03-02
CPC分类号： C23C16/4401 , G01N25/20 , G06Q10/04 , G06Q50/04
摘要： A method for monitoring a surface condition of a component includes providing thermal energy to a component, determining a thermal response of the heater in response to providing the thermal energy, and determining a thermal characteristic of the component based on a reference thermal response and the thermal response. The method includes predicting the surface condition of the component based on the thermal characteristic and a predictive analytic model, where the predictive analytic model correlates the thermal characteristic of the component to an estimated surface condition of the component.
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公开(公告)号：US20210340669A1
公开(公告)日：2021-11-04
申请号：US17306200
申请日：2021-05-03
摘要： A method includes providing thermal energy to a component, determining a thermal response of the component in response to providing the thermal energy, and determining a thermal characteristic of the component based on a reference thermal response and the thermal response. The method includes predicting a surface condition of the component based on the thermal characteristic and a predictive analytic model, where the predictive analytic model correlates the thermal characteristic of the component to an estimated surface condition of the component.
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