Open Access
Mechanics & Industry
Volume 18, Number 4, 2017
Article Number 402
Number of page(s) 8
Published online 14 August 2017
  1. P.O. Vähäoja, H.V.S. Pikkarainen, Trends in industrial oil analysis – a review, Int. J. Cond. Monit. 1 (2011) 4–10 [CrossRef] [Google Scholar]
  2. R.M. Mortier, M.F. Fox, S.T. Orszulik, Chemistry and technology of lubricants, 3rd edn., Springer, UK, 2010 [Google Scholar]
  3. A. Mujahid, F.L. Dickert, Monitoring automotive oil degradation: analytical tools and onboard sensing technologies, Anal. Bioanal. Chem. 404 (2012) 1197–1209 [CrossRef] [PubMed] [Google Scholar]
  4. H. Singh, S. Swaroop, Oxidation behavior of base oils and their constituting hydrocarbon types, Prep. ACS Div. Petrol. Chem. 42 (1997) 218 [Google Scholar]
  5. L. Guan, X.L. Feng, G. Xiong, J.A. Xie, Application of dielectric spectroscopy for engine lubricating oil degradation monitoring, Sens. Actuators A: Phys. 168 (2011) 22–29 [CrossRef] [Google Scholar]
  6. D.C. Schalcosky, C.S. Byington, Advances in real time oil analysis, Pract. Oil Anal. Mag. 11 (2000) 28–34 [Google Scholar]
  7. S. Kumar, P.S. Mukherjee, N.M. Mishra, Online condition monitoring of engine oil, Ind. Lubric. Tribol. 57 (2005) 260–267 [CrossRef] [Google Scholar]
  8. L.A.R. Baptista, L.A.V. Pinto, C.R.P. Belchior, Condition monitoring of engines by lubricating oil analysis, SAE Technical Paper, 1999-01-3001, 1999 [Google Scholar]
  9. T. Cargol, An overview of online oil monitoring technologies, Proceedings of the Fourth Annual Weidmann-ACTI Technical Conference, San Antonio, 2005 [Google Scholar]
  10. A. Toms, L. Toms, Oil analysis and condition monitoring, in: Chemistry & technology of lubricants, 2010 [Google Scholar]
  11. G.E. Newell, Oil analysis cost-effective machine condition monitoring technique, Ind. Lubric. Tribol. 51 (1948) 119–124 [CrossRef] [Google Scholar]
  12. T.H. Wu, J.H. Mao, J.T. Wang et al., A new on-line visual ferrograph, Tribol. Trans. 52 (2009) 623–631 [CrossRef] [Google Scholar]
  13. T. Wu, W. Wang, J. Wu et al., Improvement on on-line ferrograph image identification, Chin. J. Mech. Eng. 23 (2010) 1 [CrossRef] [EDP Sciences] [Google Scholar]
  14. T.H. Wu, H.K. Wu, Y. Du et al., Progress and trend of sensor technology for on-line oil monitoring, Sci. China Technol. Sci. 56 (2013) 2914–2926 [CrossRef] [Google Scholar]
  15. T.H. Wu, J.Q. Wang, J.Y. Wu et al., Wear characterization by an on-line ferrograph image, Proc. Inst. Mech. Eng. J.: J. Eng. Tribol. 225 (2011) 23–34 [CrossRef] [Google Scholar]
  16. A. Agoston, C. Ötsch, B. Jakoby, Viscosity sensors for engine oil condition monitoring – application and interpretation of results, Sens. Actuators A: Phys. 121 (2005) 327–332 [CrossRef] [Google Scholar]

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