Have a personal or library account? Click to login
Lubricant Analysis as the Most Useful Tool in the Proactive Maintenance Philosophies of Machinery and its Components Cover

Lubricant Analysis as the Most Useful Tool in the Proactive Maintenance Philosophies of Machinery and its Components

Open Access
|Jul 2020

References

  1. [1] Z. Aleš, J. Pavlů, V. Legát, F. Mošna, V. Jurča. “Methodology of overall equipment effectiveness calculation in the context of industry 4.0 environment”. Maintenence and Reliability, vol. 21, no. 3, pp. 411-418, 2019.10.17531/ein.2019.3.7
  2. [2] E. Ciulli. “Tribology and Industry: From the Origins to 4.0“. Frontiers in Mechanical Engineering, vol. 5, no. 55, 2019, doi: 10.3389/fmech.2019.00055.10.3389/fmech.2019.00055
  3. [3] Y. Du, T. Wu, S. Zhou, V. Makis. Remaining useful life prediction of lubricating oil with dynamic principal component analysis and proportional hazard model. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, vol. 0, no. 0, pp. 1-8, 2019.
  4. [4] L. Huang, Y. Chen, S. Chen, H. Jiang. ”Application of RCM analysis based predictive maintenance in nuclear power plants”. In Proc. International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), USA: IEEE, pp.1015-1021, 2012.
  5. [5] M. Idzior, K. Wichtowska. “Badanie wpływu przebiegu pojazdów na zmiany właściwości olejów silnikowych”. Auto-busy – Technika, Eksploatacja, Systemy Transportowe, vol. 17, no. 6, pp. 900-904, 2016.
  6. [6] A.K.S. Jardine, D. Lin, D. Banjevic. “A review on machinery diagnostics and prognostics implementing condition-based maintenance“. Mechanical Systems and Signal Processing, vol. 20, pp. 1483-1510, 2006.
  7. [7] P. Klouda, V. Moni, M. Řehoř, J. Blata, F. Helebrant. ”The Evaluation of a Risk Degree for the Process of a Brown Coal Spontaneuos Ignition on Dumps with Using of Modern Numeric Methods”. Management Systems in Production Engineering, vol. 26, no. 2, pp. 71-75, 2018.10.2478/mspe-2018-0011
  8. [8] J. Kral Jr., B. Konecny, J. Kral, K. Madac, G. Fedorko, V. Molnar. “Degradation and chemical change of longlife oils following intensive use in automobile engines”. Measurement, vol. 50, pp. 34-42, 2014.10.1016/j.measurement.2013.12.034
  9. [9] A. Kumar, S.K. Ghosh. “Size distribution analysis of wear particles in the transmission system of mining equipment”. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, vol. 232, no. 8, pp. 921-926, 2018.10.1177/1350650117746804
  10. [10] U. Kumar, D. Galar, A. Parida, Ch. Stenström, L. Berges.“ Maintenance performance metrics: a state-of-the-art review“. Journal of Quality in Maintenance Engineering, vol. 19, no. 3, pp. 233-277, 2013.10.1108/JQME-05-2013-0029
  11. [11] J. Lee, F. Wu, W. Zhao, M. Ghaffari, L. Liao, D. Siegel. “Prognostics and health management design for rotary machinery systems – Reviews, methodology and applications“. Mechanical Systems and Signal Processing, vol. 42, pp. 314-334, 2014.10.1016/j.ymssp.2013.06.004
  12. [12] R. Majdan, R. Abrahám, D. Uhrinová, J. Nosian. “Contamination of transmission and hydraulic oils in agricultural tractors and proposal of by-pass filtration system“. Agronomy research, vol. 17(S1), pp. 1107-1122, 2019.
  13. [13] L.V. Markova. ”Intelligent method for monitoring the state of lubricating oil”. Journal Friction and Wear, vol. 37, no. 4, pp. 308-314, 2016.10.3103/S1068366616040115
  14. [14] Y. Peng, M. Dong, M.J. Zuo. “Current status of machine prognostics in condition-based maintenance: a review“. International Journal of Advanced Manufacturing Technology, vol. 50, pp. 297-313, 2010.10.1007/s00170-009-2482-0
  15. [15] M. Rakyta, M. Fusko, J. Herčko, Ľ. Závodská, N. Zrnić. “Pro-active approach to smart maintenance and logistics as a auxiliary and service processes in a company”. Journal of Applied Engineering Science, vol.14, no. 4, pp. 433-442, 2016.10.5937/jaes14-11664
  16. [16] H. Raposo, J. T. Farinha, I. Fonseca, D. Galar. “ Predicting condition based on oil analysis – A case study“. Tribology International, vol. 135, pp. 65-74, 2019.10.1016/j.triboint.2019.01.041
  17. [17] M. Sejkorová, B. Šarkan, J. Caban, A. Marczuk. “O zależności widm w podczerwieni zużytych olejów silnikowych od ich lepkości kinematycznej”. Przemysł Chemiczny, vol. 97, no. 1, pp. 49-54, 2018.10.15199/62.2018.1.5
  18. [18] J. Turis, P. Beňo, W. Biały. ”The Optimal Tribotechnical Factors in the Design of Machines – Environmental Element in the Production Systems”. Management Systems in Production Engineering, vol. 26, no. 4, pp. 207-211, 2018.10.1515/mspe-2018-0033
  19. [19] G.E. Totten. Handbook of Lubrication and Tribology. Volume I: Application and Maintenance, 2nd Edition, Taylor & Francis Group, pp. 1224, 2006.10.1201/9781420003840
  20. [20] P. Ťavoda, J. Kováč, Z. Łukaszczyk. ”Reliability Analysis of Forest Machines due to FMEA Method”. Management Systems in Production Engineering, vol. 26, no. 4, pp. 200-206, 2018.10.1515/mspe-2018-0032
  21. [21] D. Vališ, O. Pokora, J. Koláček. ”System failure estimation based on field data and semi-parametric modeling”. Engineering Failure Analysis, vol. 101, pp. 473-484, 2019.10.1016/j.engfailanal.2019.04.014
  22. [22] D. Vališ, L. Žák, O. Pokora, P. Lánský. “Perspective analysis outcomes of selected tribodiagnostic data used as input for condition based maintenance”. Reliability Engineering & System Safety, vol. 145, pp. 231-242, 2016.10.1016/j.ress.2015.07.026
  23. [23] J.M. Wakiru, L. Pintelon, P.N. Muchiri, P.K. Chemweno. “A review on lubricant condition monitoring information analysis for maintenance decision support”. Mechanical Systems and Signal Processing, vol. 118, pp. 108-132, 2019.10.1016/j.ymssp.2018.08.039
  24. [24] A. Wolak, G. Zajac. ”Changes in the operating characteristics of engine oils: a comparison of the results obtained with the use of two automatic devices”. Measurement, vol. 113, pp. 53-61, 2018.10.1016/j.measurement.2017.08.037
  25. [25] J. Zhu, D. He, E. Bechhoefer. “Survey of lubrication oil condition monitoring, diagnostics, and prognostics techniques and systems“. Journal of Chemical Science and Technology, vol. 2, no. 3, pp. 100-115, 2013.
DOI: https://doi.org/10.2478/mspe-2020-0029 | Journal eISSN: 2450-5781 | Journal ISSN: 2299-0461
Language: English
Page range: 196 - 201
Submitted on: Jan 1, 2020
|
Accepted on: Jun 1, 2020
|
Published on: Jul 17, 2020
Published by: STE Group sp. z.o.o.
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2020 Marián Kučera, Silvia Kopčanová, Marie Sejkorová, published by STE Group sp. z.o.o.
This work is licensed under the Creative Commons Attribution 4.0 License.