OFF-LINE CONTAMINANT MONITORING SENSOR ASSESSMENT FOR USED OIL ANALYSIS
S. Raadnui, S. Intasonti
Pages: 117-123
Published: 16 Nov 2022
Views: 403
Downloads: 45
Abstract: It has long been known that the presence of solid contaminants in lubricating oil, whether in a form of wear particles or ingested from the environment are inevitable. The main approach of “before failure” diagnosis or prognosis of the oil-lubricated machinery is to detect lubricant degradation in situ the oil circulating system i.e., additive depletion, physical & chemical oil properties, degradation and solid wear particle generation or dirt ingression. In this particular paper, a solid debris monitoring sensor for used oil monitoring is assessed. The sensor working principal is to measure for the variation of the electrical capacitive responses caused by moisture and solid particles namely dirt and wear particles. The quantitative assessment of this specific sensor is statistically quantified through the utilization of full factorial design of experiments (DOE). The main and interaction effect of moisture, dirt and wear particles on the electrical field response is statistically assessed.
Keywords: contaminant monitoring sensor, full factorial experimental design, lubricant degradation
Cite this article: S. Raadnui, S. Intasonti. OFF-LINE CONTAMINANT MONITORING SENSOR ASSESSMENT FOR USED OIL ANALYSIS. Journal of International Scientific Publications: Materials, Methods & Technologies 16, 117-123 (2022). https://www.scientific-publications.net/en/article/1002513/
Back to the contents of the volume
© 2025 The Author(s). This is an open access article distributed under the terms of the
Creative Commons Attribution License https://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This permission does not cover any third party copyrighted material which may appear in the work requested.
Disclaimer: The Publisher and/or the editor(s) are not responsible for the statements, opinions, and data contained in any published works. These are solely the views of the individual author(s) and contributor(s). The Publisher and/or the editor(s) disclaim any liability for injury to individuals or property arising from the ideas, methods, instructions, or products mentioned in the content.
