公开(公告)号：US20170212042A1

公开(公告)日：2017-07-27

申请号：US15005384

申请日：2016-01-25

Applicant: ABB, Inc.

Inventor： Daniele Angelosante ,  Andrew Fahrland ,  Deran Maas ,  Manish Gupta

IPC: G01N21/39 ,  G01J3/42

CPC classification number: G01N21/39 ,  G01J3/027 ,  G01J3/28 ,  G01J3/42 ,  G01J3/433 ,  G01J2003/2853 ,  G01N2021/399 ,  G01N2201/12

Abstract: A method of processing raw measurement data from a tunable diode laser absorption spectroscopy (TDLAS) tool or other spectroscopic instrument is provided that determines what types of noise (electronic or process flow) are present in the measurement. Based on that determination, the noise is reduced by performing a weighted averaging using weights selected according to the dominant type of noise present, or a general case is applied to determine weights where neither noise type is dominant. The method also involves performing continuous spectroscopy measurements with the tool, with the data and weighted averaging being constantly updated. Weighting coefficients may also be adjusted based on similarity or difference between time-adjacent traces.

公开(公告)号：US10557792B2

公开(公告)日：2020-02-11

申请号：US14986244

申请日：2015-12-31

Applicant: ABB, Inc.

Inventor： Elena S. F. Berman ,  Andrew Fahrland ,  Manish Gupta ,  Douglas S. Baer ,  John Brian Leen

IPC: G01N21/39 ,  G01J3/457 ,  G01J3/00 ,  G01J3/42 ,  G01J3/28 ,  G01N21/35

Abstract: A method for spectral interpretation in absorption spectroscopy uses a nonlinear spectral fitting algorithm for interpretation of spectral features in complex absorption spectra. The algorithm combines two spectral modeling techniques for generating spectral models to be used in the curve fitting process: a line-shape model and a basis-set model. The selected models for all gas components are additively combined using a least squares minimization, allowing for quantification of multiple species simultaneously.

公开(公告)号：US20170191929A1

公开(公告)日：2017-07-06

申请号：US14986244

申请日：2015-12-31

Applicant: ABB, Inc.

Inventor： Elena S.F. Berman ,  Andrew Fahrland ,  Manish Gupta ,  Douglas S. Baer ,  John Brian Leen

IPC: G01N21/39 ,  G06F17/50 ,  G01N21/31

CPC classification number: G01N21/39 ,  G01J3/00 ,  G01J3/28 ,  G01J3/42 ,  G01J3/457 ,  G01J2003/284 ,  G01N2021/3595 ,  G01N2021/399

Abstract: A method for spectral interpretation in absorption spectroscopy uses a nonlinear spectral fitting algorithm for interpretation of spectral features in complex absorption spectra. The algorithm combines two spectral modeling techniques for generating spectral models to be used in the curve fitting process: a line-shape model and a basis-set model. The selected models for all gas components are additively combined using a least squares minimization, allowing for quantification of multiple species simultaneously.

公开(公告)号：US20190339198A1

公开(公告)日：2019-11-07

申请号：US16512320

申请日：2019-07-15

Applicant: ABB, INC.

Inventor： Daniele Angelosante ,  Andrew Fahrland ,  Deran Maas ,  Manish Gupta

IPC: G01N21/39 ,  G01J3/02 ,  G01J3/28 ,  G01J3/42 ,  G01J3/433

Abstract: A method of processing raw measurement data from a tunable diode laser absorption spectroscopy (TDLAS) tool or other spectroscopic instrument is provided that determines what types of noise (electronic or process flow) are present in the measurement. Based on that determination, the noise is reduced by performing a weighted averaging using weights selected according to the dominant type of noise present, or a general case is applied to determine weights where neither noise type is dominant. The method also involves performing continuous spectroscopy measurements with the tool, with the data and weighted averaging being constantly updated. Weighting coefficients may also be adjusted based on similarity or difference between time-adjacent traces.

公开(公告)号：US10359360B2

公开(公告)日：2019-07-23

申请号：US15005384

申请日：2016-01-25

Applicant: ABB, Inc.

Inventor： Daniele Angelosante ,  Andrew Fahrland ,  Deran Maas ,  Manish Gupta

IPC: G01N21/39 ,  G01J3/02 ,  G01J3/42 ,  G01J3/28 ,  G01J3/433

Abstract: A method of processing raw measurement data from a tunable diode laser absorption spectroscopy (TDLAS) tool or other spectroscopic instrument is provided that determines what types of noise (electronic or process flow) are present in the measurement. Based on that determination, the noise is reduced by performing a weighted averaging using weights selected according to the dominant type of noise present, or a general case is applied to determine weights where neither noise type is dominant. The method also involves performing continuous spectroscopy measurements with the tool, with the data and weighted averaging being constantly updated. Weighting coefficients may also be adjusted based on similarity or difference between time-adjacent traces.