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Original Articles

Modeling Wear State Evolution Using Real-Time Wear Debris Features

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Pages 1022-1032 | Received 17 Mar 2016, Accepted 27 Sep 2016, Published online: 18 Dec 2016

References

  • Kothamasu, R., Huang, S. H., and VerDuin, W. H. (2009), Handbook of Maintenance Management and Engineering, 1st ed., Springer: London.
  • Dempsey, P. J. and Afjeh, A. A. (2004), “Integrating Oil Debris and Vibration Gear Damage Detection Technologies Using Fuzzy Logic,” Journal of the American Helicopter Society, 49(2), pp 109–116.
  • Roylance, B. J., Williams, J. A., and Dwyer-Joyce, R. (2000), “Wear Debris and Associated Wear Phenomena Fundamental Research and Practice,” Proceedings of the Institution of Mechanical Engineers - Part J: Journal of Engineering Tribology, 214(1), pp 79–105.
  • Wu, T. H., Wu, H. K., Du, Y., and Peng, Z. X. (2013), “Progress and Trend of Sensor Technology for On-Line Oil Monitoring,” Science China Technological Sciences, 56(12), pp 2914–2926.
  • Miller, J. L. and Kitaljevich, D. (2000), “In-Line Oil Debris Monitor for Aircraft Engine Condition Assessment,” IEEE Aerospace Conference Proceedings, 25 March, Montana, US.
  • Kwon, O. K., Kong, H. S., Han, H. G., Yoon, E. S., Myshkin, N. K., Markova, L. V., and Semeniouk, M. S. (2000), “On-Line Measurement of Contaminant Level in Lubricating Oil,” U.S. Patent 6,151,108.
  • Wu, T. H., Mao, J. H., Wang, J. T., Wu, J. Y., and Xie, Y. B. (2009), “A New On-Line Visual Ferrograph,” Tribology Transactions, 52(5), pp 623–631.
  • Becker, A., Abanteriba, S., and Forrester, D. (2015), “Determining Inductive Sensor Wear Debris Limits for Rolling Contact Fatigue of Bearings,” Proceedings of the Institution of Mechanical Engineers - Part J: Journal of Engineering Tribology, 229(6), pp 698–711.
  • Peng, Z. and Kessisoglou, N. (2003), “An Integrated Approach to Fault Diagnosis of Machinery Using Wear Debris and Vibration Analysis,” Wear, 255(7), pp 1221–1232.
  • Ludema, K. C. (1996), “Mechanism-Based Modeling of Friction and Wear,” Wear, 200(1), pp 1–7.
  • Wu, T. H., Peng, Y. P., Wu, H. K., Zhang, X. G., and Wang, J. Q. (2014), “Full-Life Dynamic Identification of Wear State Based on On-Line Wear Debris Image Features,” Mechanical Systems and Signal Processing, 42(1), pp 404–414.
  • Wu, T. H., Wu, H. K., Du, Y., Kwok, N., and Peng, Z. X. (2014), “Imaged Wear Debris Separation for On-Line Monitoring Using Gray Level and Integrated Morphological Features,” Wear, 316(1), pp 19–29.
  • Meng, H. C. and Ludema, K. C. (1995), “Wear Models and Predictive Equations: Their Form and Content,” Wear, 181, pp 443–457.
  • García, F. P., Tobias, A. M., Pinar, J. M., and Papaelias, M. (2012), “Condition Monitoring of Wind Turbines: Techniques and Methods,” Renewable Energy, 46(5), pp 169–178.
  • Zhang, H., Li, Z., and Chen, Z. (2003), “Application of Grey Modeling Method to Fitting and Forecasting Wear Trend of Marine Diesel Engines,” Tribology International, 36(10), pp 753–756.
  • Peng, Z. and Kirk, T. B. (1999), “Wear Particle Classification in a Fuzzy Grey System,” Wear, 225(4), pp 1238–1247.
  • Jian, W., Dong, Y., Hu, D. X., Zao, J. J., and Peng, B. (2013), “Application of Relevance Vector Machine in the Engine Oil Wear Particle Fault Diagnosis,” 2nd International Symposium on Instrumentation and Measurement, Sensor Network and Automation (IMSNA), Toronto, Canada, 23–24 December.
  • Wu, H. K., Wu, T. H., Peng, Y. P., and Peng, Z. X. (2014), “Watershed-Based Morphological Separation of Wear Debris Chains for On-Line Ferrograph Analysis,” Tribology Letters, 53(2), pp 411–420.
  • Lim, S. C., Ashby, M. F., and Brunton, J. H. (1987), “Wear-Rate Transitions and Their Relationship to Wear Mechanisms,” Acta Metallurgica, 35(6), pp 1343–1348.
  • Wu, T. H., Wang, J. Q., Wu, J. Y., Xie, Y. B., and Mao, J. H. (2011), “Wear Characterization by an On-Line Ferrograph Image,” Proceedings of the Institution of Mechanical Engineers - Part J: Journal of Engineering Tribology, 225(1), pp 23–34.
  • Goncalves, A. C. and Campos, J. B. (2011), “Predictive Maintenance of a Reducer with Contaminated Oil under an Excentrical Load through Vibration and Oil Analysis,” Journal of the Brazilian Society of Mechanical Sciences and Engineering, 33(1), pp 1–7.
  • Comaniciu, D. and Meer, P. (2002), “Mean Shift: A Robust Approach toward Feature Space Analysis,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(5), pp 603–619.
  • Guo, S. M., Chen, L. C., and Tsai, J. S. H. (2009), “A Boundary Method for Outlier Detection Based on Support Vector Domain Description,” Pattern Recognition, 42(1), pp 77–83.
  • Comaniciu, D. (2003), “An Algorithm for Data-Driven Bandwidth Selection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(2), pp 281–288.

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