Proceedings of the 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)

Reflectance Spectroscopy Model for Pollutant Estimation in Lubricant

Authors
Panjie Lv, Guangjun Tian
Corresponding Author
Panjie Lv
Available Online September 2016.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)
Part of series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-245-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/amitp-16.2016.50How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Panjie Lv
AU  - Guangjun Tian
PY  - 2016/09
DA  - 2016/09
TI  - Reflectance Spectroscopy Model for Pollutant Estimation in Lubricant
BT  - 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  - https://doi.org/10.2991/amitp-16.2016.50
ID  - Lv2016/09
ER  -