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The Investigation of the Effectiveness of Engine Oil Filter Particle Analysis in Enhancing the Efficiency of Diesel Engine Condition Monitoring Programs

Samaeinejad, Saman | 2024

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  1. Type of Document: M.Sc. Thesis
  2. Language: English
  3. Document No: 57650 (58)
  4. University: Sharif University of Technology, International Campus, Kish Island
  5. Department: Science and Engineering
  6. Advisor(s): Behzad, Mehdi; Masoodi, Alireza; Mohammadi, Somayeh
  7. Abstract:
  8. Over the years, as machines have been invented, their maintenance and repair have consistently been regarded as critical concerns. Oil analysis techniques are an effective method for monitoring the condition of mechanical equipment. Since filters in these devices continually absorb and remove a significant portion of particles from the lubricant, the selection of appropriate filters is crucial. While filters positively affect machine performance, they can also negatively impact oil condition monitoring. To mitigate this negative effect and improve the predictive accuracy of equipment health monitoring, oil filter analysis was conducted. In this research, analytical ferrography tests were performed on wear particles trapped in the oil filter, which were extracted from the filter paper using ultrasonic methods and collected on membrane patches through a vacuum pump. After comparing the results of the oil filter analysis with those of oil analysis, significant findings were obtained. In many cases where oil analysis indicated satisfactory device conditions, oil filter analysis revealed substantial wear in the engine. Based on the GMM pattern and statistical analyses, the particle density measurements obtained from the membrane patches, prepared using existing empirical data, were validated. In the absence of a specific standard in this field, these findings can serve as a preliminary standard for measuring particle density in engine oil filter analysis
  9. Keywords:
  10. Predictive Maintenance ; Filter Debris Analysis (FDA ) ; Maintenance ; Diesel Engines ; Machinery Maintenance & Repair

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