• Spectroscopy and Spectral Analysis
  • Vol. 39, Issue 11, 3459 (2019)
LI Jing1, TIAN Hong-xiang1, SUN Yun-ling1, MING Ting-feng1, and SHENG Chen-xing2、3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2019)11-3459-06 Cite this Article
    LI Jing, TIAN Hong-xiang, SUN Yun-ling, MING Ting-feng, SHENG Chen-xing. Application of FTIR Spectrum in Quantitatively Monitoring Oil Contaminants[J]. Spectroscopy and Spectral Analysis, 2019, 39(11): 3459 Copy Citation Text show less
    References

    [1] Larry A Toms, Allison M Toms. Machinery Oil Analysis. Illinois: Society of Tribologists& Lubrication Engineers, 2008. 1.

    [2] American Society of Testing Materials. ATSM D6224—16 In-Service Monitoring of Lubricating Oil for Auxiliary Power Plant Equipment, 2016.

    [3] American Society of Testing Materials. ATSM D1533—12 Standard Test Method for Water in Insulating Liquids by Coulometric Karl Fischer Titration, 2012.

    [4] American Society of Testing Materials. ATSM D3524—14 Diesel Fuel Diluent in Used Diesel Engine Oils by Gas Chromatography, 2014.

    [5] American Society of Testing Materials. ASTM D2982—2007(2013) Standard Test Methods for Detecting Glycol-Base Antifreeze in Used Lubricating Oils, 2013.

    [6] van de Voort F R, Sedman J, Pinchuk D. Journal of ASTM International, 2015, 8(5).

    [7] American Society of Testing Materials. ATSM E2412—10 Condition Monitoring of In-Service Lubricants by Trend Analysis Using Fourier Transform Infrared (FTIR) Spectrometry, 2010.

    [8] van de Voort F R, Sedman J, Pinchuk D. Journal of ASTM International, 2015, 8(5).

    [11] American Society of Testing Materials. ATSMD7414—18 Condition Monitoring of Oxidation in In-Service Petroleumand Hydrocarbon Based Lubricants by Trend Analysis Using Fourier Transform Infrared (FTIR) Spectrometry, 2018.

    LI Jing, TIAN Hong-xiang, SUN Yun-ling, MING Ting-feng, SHENG Chen-xing. Application of FTIR Spectrum in Quantitatively Monitoring Oil Contaminants[J]. Spectroscopy and Spectral Analysis, 2019, 39(11): 3459
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