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Materials, Methods & Technologies, Volume 16, 2022

OFF-LINE CONTAMINANT MONITORING SENSOR ASSESSMENT FOR USED OIL ANALYSIS
S. Raadnui, S. Intasonti
Strony: 117-123
Opublikowano: 16 Nov 2022
Wyświetlenia: 436
Pobrania: 48
Streszczenie: 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.
Słowa kluczowe: contaminant monitoring sensor, full factorial experimental design, lubricant degradation
Cytowanie artykułu: 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/
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