Acid number prediction model of lubricating oil based on mid-infrared spectroscopy

HIGHLIGHTS

  • who: Fanhao Zhou and collaborators from the Reliability Engineering Institute, School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan, China have published the research: Acid Number Prediction Model of Lubricating Oil Based on Mid-Infrared Spectroscopy, in the Journal: Lubricants 2022, 10, 205. of /2022/
  • what: The support vector machine regression method is used to quantitatively analyze the of the oil sample which verifies the stability and predictive ability of the quantitative model and the authors provide a theoretical basis and practical examples for the online monitoring of oil indicators. In this study . . .

     

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