Diagnostic Technology for Oxidation of Lubricating Oil on the Basis of Color by Lubricating Oil Image Analysis

DOI
  • NAKAMURA Shuya
    University of Fukui
  • HONDA Tomomi
    Department of Mechanical and System Engineering, Faculty of Engineering, University of Fukui
  • KON Tomohiko
    Department of Mechanical and System Engineering, Faculty of Engineering, University of Fukui
  • OKUYAMA Genki
    Industrial Lubricants Group, Lubricants Research Laboratories, Idemitsu Kosan Co., Ltd
  • SEKIGUCHI Hiroki
    Industrial Lubricants Group, Lubricants Research Laboratories, Idemitsu Kosan Co., Ltd
  • KOBESSHO Masahiro
    Technical & Marketing Section 2, Lubricants Department 2, Idemitsu Kosan Co., Ltd

Bibliographic Information

Other Title
  • 潤滑油画像解析法による色を用いた潤滑油酸化診断技術

Abstract

<p>To extend the lifetime of machines, proactive maintenance has been recommended. Especially, predicting the lifetime of oxidation inhibitors in lubricating oil is important. For this reason, there is a need to develop an analysis method for lubricating oil that can easily measure the residual rate of oxidation inhibitors at a low cost. Therefore, we proposed Lubricating oil Image Analysis (LIA), which is lubricating oils degradation diagnosis using image analysis technology. This method is capable of quantitative color analysis from RGB values of lubricating oil images taken with a digital camera, and thus we designed and manufactured a Lubricating oil photographing equipment (Lope) for LIA. In this study, we investigated the relationship between color and pigment resulting from oxidation of lubricating oil by comparing RGB values by LIA to oxide production amount, residual rate of oxidation inhibitors and visible light absorption characteristics. As a result, we have shown that RGB values enable to monitor the pigments resulting from oxidation inhibitors. In other words, LIA makes it possible to indirectly monitor the residual rate of oxidation inhibitors easily and at a low cost, and thus LIA is expected to be used in the field for the lubricating oil analysis.</p>

Journal

Keywords

Details 詳細情報について

  • CRID
    1390014967590291968
  • DOI
    10.18914/tribologist.22-00023
  • ISSN
    21899967
    09151168
  • Text Lang
    ja
  • Data Source
    • JaLC
  • Abstract License Flag
    Disallowed

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