Reflectance Spectroscopy Model for Pollutant Estimation in Lubricant

DOI

10.2991/amitp-16.2016.50How to use a DOI?

Keywords

Reflectance spectroscopy model; Lubricants; PCA; Correlation coefficient.

Abstract

Principal Component Analysis combined with Correlation Coefficient is presented to choose dominant wavelengths of lubricants reflectance spectrum in the wide band of 220 nm ~ 780 nm, and the index regression model is established about oil pollution concentration and spectral reflectivity. Tests show that the regression model has strong predictive power, which is suitable for the quality estimation of lubricating oil with high pollution concentration. It provides the feasibility experimental basis for further to achieve the working lubricants pollution concentration in-situ and rapid detection of spectroscopic methodology.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Panjie Lv
AU  - Guangjun Tian
PY  - 2016/09
DA  - 2016/09
TI  - Reflectance Spectroscopy Model for Pollutant Estimation in Lubricant
BT  - Proceedings of the 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)
PB  - Atlantis Press
SP  - 251
EP  - 255
SN  - 2352-538X
UR  - https://doi.org/10.2991/amitp-16.2016.50
DO  - 10.2991/amitp-16.2016.50
ID  - Lv2016/09
ER  -