Reflectance Spectroscopy Model for Pollutant Estimation in Lubricant
Panjie Lv, Guangjun Tian
Available Online September 2016.
- https://doi.org/10.2991/amitp-16.2016.50How to use a DOI?
- Reflectance spectroscopy model; Lubricants; PCA; Correlation coefficient.
- 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.
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 -