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公开(公告)号:US11754539B2
公开(公告)日:2023-09-12
申请号:US16842849
申请日:2020-04-08
Applicant: SpectraSensors, Inc.
Inventor: Kevin Ludlum , Marc Winter , Benjamin Scherer , Xiang Liu
CPC classification number: G01N33/0006 , G01N21/31 , G01N33/0036 , G06N3/08 , G06N20/00
Abstract: The present disclosure relates to a computer-implemented method for forecasting calibration spectra including a step of providing a machine learning model trained using historical calibration data corresponding to different gas species at different pressures. The computer-implemented method also includes steps of performing a calibration scan of one gas species at one pressure using an analyzer and generating calibration curves for the analyzer corresponding to one or multiple gas species at multiple pressures using the machine learning model and the calibration scan. Thereafter, a spectrum is obtained using the analyzer, and a concentration measurement is generated using the spectrum and at least one of the calibration curves.
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公开(公告)号:US20210318280A1
公开(公告)日:2021-10-14
申请号:US16842849
申请日:2020-04-08
Applicant: SpectraSensors, Inc.
Inventor: Kevin Ludlum , Marc Winter , Benjamin Scherer , Xiang Liu
Abstract: The present disclosure relates to a computer-implemented method for forecasting calibration spectra including a step of providing a machine learning model trained using historical calibration data corresponding to different gas species at different pressures. The computer-implemented method also includes steps of performing a calibration scan of one gas species at one pressure using an analyzer and generating calibration curves for the analyzer corresponding to one or multiple gas species at multiple pressures using the machine learning model and the calibration scan. Thereafter, a spectrum is obtained using the analyzer, and a concentration measurement is generated using the spectrum and at least one of the calibration curves.
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