Invention Application
- Patent Title: OPTIMAL WEIGHTED AVERAGING PRE-PROCESSING SCHEMES FOR LASER ABSORPTION SPECTROSCOPY
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Application No.: US15005384Application Date: 2016-01-25
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Publication No.: US20170212042A1Publication Date: 2017-07-27
- Inventor: Daniele Angelosante , Andrew Fahrland , Deran Maas , Manish Gupta
- Applicant: ABB, Inc.
- Applicant Address: US NC Cary
- Assignee: ABB, Inc.
- Current Assignee: ABB, Inc.
- Current Assignee Address: US NC Cary
- Main IPC: G01N21/39
- IPC: G01N21/39 ; G01J3/42

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.
Public/Granted literature
- US10359360B2 Optimal weighted averaging pre-processing schemes for laser absorption spectroscopy Public/Granted day:2019-07-23
Information query
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