Oil condition monitoring, an AI application study using the Classification Learner Technics
10.15660/AUOFMTE.2021-1.3571
G Grebenişan, N Salem, S Bogdan, D C Negrău
grebe@uoradea.ro
Volume XXX, 2021/1
The present study uses an estimation and prediction method and characteristic techniques to predict the life of the lubricating oil based on data collected directly from the mechanical or hydraulic system. The collected data is part of a complex data set with 19 lubricating oil status parameters resulting from online measurements on an experiment stand built and operated under conditions similar to those in a mechanical machining company.
ISSN 1583-0691, CNCSIS "Clasa B+"