Evaluation of lubricant condition and engine health based on soft computing methods

Author:

Pourramezan Mohammad-Reza,Rohani AbbasORCID,Keramat Siavash Nemat,Zarein Mohammad

Funder

Ferdowsi University of Mashhad

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference28 articles.

1. Vališ D, Gajewski J, Žák L (2019) Potential for using the ANN-FIS meta-model approach to assess levels of particulate contamination in oil used in mechanical systems. Tribol Int 135:324–334

2. DeGaspari J (1999) Recording oil’s vital signs. Mech Eng 121(05):54–56

3. Amoura M, Haddad F (2011) Analysis of used lubricant engine oil: SAE20W50. In: Advanced materials research, vol 314. Trans Tech Publications Ltd., pp 1463–1466

4. Poley J (2012) The metamorphosis of oil analysis. In: Machinery Failure Prevention Technology (MFPT) Conference, Condition Based Maintenance section 1, Conference Proceedings, Dayton, Ohio

5. Albidewi IA (2008) Wear particles surface identification using neural network. IJCSNS Int J Comput Sci Netw Secur 8(1):262–265

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