New Algorithm for Engine Oil Identification by Infrared Spectrum

Abstract:

Based on structure and composition characteristics of engine oil, the new algorithm for its Infrared Spectrum (IR) Identification has been put forward. The Hit Quality Index and Related Hit Quality Index are widely used in Infrared Spectrum Identification recently. The two methods don’t take the importance of the variables into consideration and cannot distinguish the unobvious variation in IR spectra. Therefore the diversity weight factor was introduced into the new algorithm to promote its selectivity. The experimental results had shown that the new spectrum similarity evaluation index could distinguish the unobvious spectrum variations and to improve the infrared spectrum identification capability of engine oils.

• Periodical: Advanced Materials Research (Volume 1081)
• Pages: 353-357
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1081.353
• Online since: December 2014
• Authors: Yong Gang Shi, Hao Wen, Hai Feng Gong, Zi Cun Li, Bin Su, Ping Sun
• Keywords: Algorithm (GA), Engine Oil, Infrared Spectroscopy, Similarity Evaluation Index

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