Assessment of useful life of lubricants using artificial neural network-Reference-Cited by-同舟云学术

Assessment of useful life of lubricants using artificial neural network

Published:2000-06-01 Issue:3 Volume:52 Page:105-109
ISSN:0036-8792
Container-title:Industrial Lubrication and Tribology
language:en
Short-container-title:

Author:

Sinha A.N.,Mukherjee P.S.,De A.

Abstract

Most catastrophic failures of machines result from improper lubrication. The cost of lubricants can be up to 10‐12 percent of the production cost an essential part of maintenance management, therefore it is essential that the optimization of lubricants is at the optimum. This paper decribes and considers present practice in lubricant condition monitoring.

Publisher

Emerald

Subject

Surfaces, Coatings and Films,General Energy,Mechanical Engineering

Reference12 articles.

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2. 2 Bowman, W.F. and Stachowiak, G.W. (1996), “Determination of oxidation stability of lubricating oils using sealed capsule differential scanning calorimetry”, Tribo‐Intl., Vol. 29, p. 27.

3. 3 Coates, J.P. and Setti, L.C. (1985), “Infrared spectroscopic methods for study of lubricant oxidation products”, Trans. ASLE, Vol. 29, p. 394.

4. 4 Jefferies, A. (1998), “RULER and engine oil analysis program”, Lub. Engg, Vol. 54, p. 29

5. 5 Jain, S.K. and Singhal, S. (1981), “A study of lubricant degradation in automotive diesel engines”, Proc. National Conference on Industrial Tribology, Calcutta, September, p. II‐2.1.

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