Investigations on the Relationship between Wear Debris Residence Time in Lubrication Systems and Online Oil Sampling Interval

References

• Roylance, B. J. (2005), “Ferrography—Then and Now,” Tribology International, 38, pp 857–862.
   Web of Science ®Google Scholar
• Yan, X. P., Sheng, C. X., Zhao, J. B., Yang, K., and Li, Z. X. (2015), “Study of On-Line Condition Monitoring and Fault Feature Extraction for Marine Diesel Engines Based on Tribological Information,” Proceedings of the Institution of Mechanical Engineers - Part O: Journal of Risk and Reliability, 229, pp 291–300.
   Web of Science ®Google Scholar
• Powrie, H. and Novis, A. (2006), “Gas Path Debris Monitoring for F-35 Joint Strike Fighter Propulsion System PHM,” 2006 IEEE Aerospace Conference. Big Sky, MT.
   Google Scholar
• Cao, W., Dong, G. N., Chen, W., Wu, J. Y., and Xie, Y. B. (2014), “Wear Condition Monitoring and Working Pattern Recognition of Piston Rings and Cylinder Liners Using On-Line Visual Ferrograph,” Tribology Transactions, 57(4), pp 690–699.
   Web of Science ®Google Scholar
• Zhu, X. L., Zhong, C., and Zhe, J. (2017), “Lubricating Oil Conditioning Sensors for Online Machine Health Monitoring—A Review,” Tribology International, 109, pp 473–484.
   Web of Science ®Google Scholar
• Bo, L., Yinhu, X., Song, F., Junhong, M., and You-Bai, X. (2018), “A Direct Reflection OLVF Debris Detector Based on Dark-Field Imaging,” Measurement Science and Technology, 29, pp 065104.
   Web of Science ®Google Scholar
• Flanagan, I. M., Jordan, J. R., and Whittington, H. W. (1988), “Wear-Debris Detection and Analysis Techniques for Lubricant-Based Condition Monitoring,” Journal of Physics E: Scientific Instruments, 21, pp 1011–1016.
   Google Scholar
• Williams, J. A. (2005), “Wear and Wear Particles—Some Fundamentals,” Tribology International, 38, pp 863–870.
   Web of Science ®Google Scholar
• Raadnui, S. (2005), “Wear Particle Analysis—Utilization of Quantitative Computer Image Analysis: A Review,” Tribology International, 38, pp 871–878.
   Web of Science ®Google Scholar
• Roylance, B. J. and Hunt, T. M. (1999), The Wear Debris Analysis Handbook, Coxmoor Publishing Company: Oxford, UK.
   Google Scholar
• Anderson, D. P. (1995), Wear Particle Atlas (Revised). Foxboro Analytical: Burlington, MA.
   Google Scholar
• ASTM D7690-2011. (2011), “A Standard Practice for Microscopic Characterization of Particles from In-Service Lubricants by Analytical Ferrography.” ASTM International: West Conshohocken, PA. Available at: www.astm.org
   Google Scholar
• Yuan, W., Chin, K. S., Hua, M., Dong, G., & Wang, C. (2016), “Shape Classification of Wear Particles by Image Boundary Analysis Using Machine Learning Algorithms,” Mechanical Systems and Signal Processing, 72, pp 346–358.
   Web of Science ®Google Scholar
• Becker, A., Abanteriba, S., Dutton, S., Forrester, D., and Rowlinson, G. (2016), “On the Impact of Fine Filtration on Spectrometric Oil Analysis and Inductive Wear Debris Sensors,” Proceedings of the Institution of Mechanical Engineers - Part J: Journal of Engineering Tribology, 230, pp 78–85.
   Web of Science ®Google Scholar
• Fan, B., Feng, S., Che, Y., Mao, J., and Xie, Y. (2016), “An Oil Monitoring Method of Wear Evaluation for Engine Hot Tests,” International Journal of Advanced Manufacturing Technology, 94, pp 3199–3207.
   Web of Science ®Google Scholar
• Cao, W., Dong, G. N., Chen, W., Wu, J. Y., and Xie, Y. B. (2015), “Multisensor Information Integration for Online Wear Condition Monitoring of Diesel Engines,” Tribology International, 82, pp 68–77.
   Web of Science ®Google Scholar
• Anderson, D. P. and Driver, R. D. (1979), “Equilibrium Particle Concentration in Engine Oil,” Wear, 56, pp 415–419.
   Google Scholar
• Liu, Y., Xie, Y. B., Zhao, F., and Yao, Z. G. (1998), “Revision to the Concept of Equilibrium Concentration of Particles in Lubrication System of Machines,” Wear, 215, pp 205–210.
   Web of Science ®Google Scholar
• Feng, S., Fan, B., Mao, J. H., and Xie, Y. B. (2015), “Prediction on Wear of a Spur Gearbox by On-Line Wear Debris Concentration Monitoring,” Wear, 336, pp 1–8.
   Web of Science ®Google Scholar
• Henneberg, M., Eriksen, R. L., and Fich, J. (2016), “Modelling and Measurement of Wear Particle Flow in a Dual Oil Filter System for Condition Monitoring,” Wear, 362, pp 153–160.
   Web of Science ®Google Scholar
• Fan, B., Lia, B., Feng, S., Mao, J., and Xie, Y. B. (2017), “Modeling and Experimental Investigations on the Relationship between Wear Debris Concentration and Wear Rate in Lubrication Systems,” Tribology International, 109, pp 114–123.
   Web of Science ®Google Scholar
• Henneberg, M., Eriksen, R. L., Jorgensen, B., and Fich, J. (2015), “A Quasi-Stationary Approach to Particle Concentration and Distribution in Gear Oil for Wear Mode Estimation,” Wear, 324, pp 140–146.
   Web of Science ®Google Scholar
• Yuan, W., Dong, G. N., Chin, K. S., and Hua, M. (2016), “Tribological Assessment of Sliding Pairs under Damped Harmonic Excitation Loading Based on On-Line Monitoring Methods,” Tribology International, 96, pp 225–236.
   Web of Science ®Google Scholar