Emissivity-free thermometer using hyperspectral camera and multivariate analysis and its application to steel manufacturing processes

M. Kemmochi; T. Oshige; S. Hirota; N. Hatano

doi:10.1117/12.2516354

11 April 2019 Emissivity-free thermometer using hyperspectral camera and multivariate analysis and its application to steel manufacturing processes

M. Kemmochi, T. Oshige, S. Hirota, N. Hatano

Author Affiliations +

Proceedings Volume 11028, Optical Sensors 2019; 1102815 (2019) https://doi.org/10.1117/12.2516354
Event: SPIE Optics + Optoelectronics, 2019, Prague, Czech Republic

Abstract

Various heating processes are used in a steel works. However, emissivity compensation is still one of the most difficult problems when radiation thermometers are applied to temperature measurements of heated sheets in steel manufacturing processes. The authors propose a new technique using spectral information of radiation from targets and multivariate analysis, such as principal component analysis (PCA) or partial least squares (PLS) analysis, etc. First, spectral radiation from a target is measured by a hyperspectral camera, and the scores of a predetermined spectral component are calculated as inner products of the measured spectral radiation and the predetermined spectral component. Second, the spectral component is predetermined so that its scores change with temperature and are minimally affected by the deviation of spectral emissivity. For example, the component can be determined by PCA under the condition that it is perpendicular to the deviation of spectral emissivity, which is evaluated in advance. Finally, temperatures are calculated from the scores and a calibration curve relating the scores to temperatures. The calibration curve is determined in advance from the measured spectral radiations from a blackbody furnace and the scores of the component at several temperatures. The authors developed a radiation thermometer using a hyperspectral camera and installed the camera at an annealing furnace in the stainless steel manufacturing process. As a result, it was found that the standard deviation and the maximum error of the developed radiation thermometer from the values measured by thermocouples were less than those of an ordinal single-wave thermometer.

Citation Download Citation

M. Kemmochi, T. Oshige, S. Hirota, and N. Hatano "Emissivity-free thermometer using hyperspectral camera and multivariate analysis and its application to steel manufacturing processes", Proc. SPIE 11028, Optical Sensors 2019, 1102815 (11 April 2019); https://doi.org/10.1117/12.2516354

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Cameras

Temperature metrology

Manufacturing

Annealing

Principal component analysis

Black bodies

Manufacturing equipment

Show All Keywords

Keywords/Phrases

Search In:

Publication Years