METHOD AND SYSTEM FOR GAS TEMPERATURE MEASUREMENT

    公开(公告)号:US20170276550A1

    公开(公告)日:2017-09-28

    申请号:US15078868

    申请日:2016-03-23

    CPC classification number: G01J5/0088 G01J5/0014 G01J5/0887

    Abstract: A temperature measurement system includes at least one temperature measurement probe. The at least one temperature measurement probe includes at least one hollow filament configured to emit thermal radiation in a predetermined and substantially continuous wavelength band at least partially representative of a temperature of the at least one hollow filament. The at least one hollow filament has a first diameter and a first emissivity. The at least one temperature measurement probe also includes at least one thin filament extending within at least a portion of the at least one hollow filament. The at least one thin filament is configured to emit thermal radiation in a predetermined and substantially continuous wavelength band at least partially representative of a temperature of the at least one thin filament. The at least one thin filament has a second emissivity and a second diameter less than the first diameter.

    SYSTEMS AND METHODS FOR PREDICTING ASSET SPECIFIC SERVICE LIFE IN COMPONENTS

    公开(公告)号:US20170193460A1

    公开(公告)日:2017-07-06

    申请号:US14985971

    申请日:2015-12-31

    CPC classification number: G06Q10/20

    Abstract: A system for determining a decrease in service life to a target component is provided. The system includes a service life modeling (SLM) computing device, which identifies a physics variable for a test component. The SLM computing device generates a likelihood function for the physics variable. The SLM computing device applies probabilistic techniques to the physical measurements together with a set of coefficients. The SLM computing device generates a hybrid service life model for the test component. The SLM computing device calibrates the hybrid service life model. The SLM computing device applies the hybrid service life model to a target component that shares characteristics with the test component. The SLM computing device identifies a predictive metric for the target component. The SLM computing device outputs the metric. The SLM computing device directs an operator to modify a maintenance plan for the target component based on the metric.

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