Research on FT-IR spectrum data mining of diesel engine lubricating oil

Aiming at the difficulties in quantitatively describing the pollution component information contained in FT-IR spectral data of diesel engine lubricants, wavelet transform and fractal box dimension are used to process FT-IR spectral data and get fractal dimension curve. Multiple peaks can be obtaine...

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Veröffentlicht in:Journal of physics. Conference series 2021-04, Vol.1883 (1), p.12121
Hauptverfasser: Li, Jing, Tian, Hongxiang, Ming, Tingfeng, Sun, Yunling, Zhang, Shuai
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Sprache:eng
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Zusammenfassung:Aiming at the difficulties in quantitatively describing the pollution component information contained in FT-IR spectral data of diesel engine lubricants, wavelet transform and fractal box dimension are used to process FT-IR spectral data and get fractal dimension curve. Multiple peaks can be obtained by analyzing the curve. Two groups of lubricating oil samples with water content of 0.10%, 0.22%, 0.44% and 0.88% respectively and with ethylene glycol content of 0.10%, 0.22%, 0.44% and 0.88% respectively. For the above two groups of oil samples, the corresponding relation between peak position and contaminate ratio can be obtained, and a new method based on FT-IR prediction of contaminate ratio is feasible.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1883/1/012121