Open AccessA neural networks approach of process fault diagnosis using time series collected data through oil condition monitoring
Author(s) -
G Grebenişan,
N Salem,
S Bogdan,
D C Negrău
Publication year - 2019
Publication title -
annals of the oradea university. fascicle management and technological engineering
Language(s) - English
Resource type - Journals
eISSN - 1583-0713
pISSN - 1583-0691
DOI - 10.15660/auofmte.2019-1.3428
Subject(s) - artificial neural network , fault (geology) , time series , series (stratigraphy) , computer science , process (computing) , data mining , artificial intelligence , pattern recognition (psychology) , machine learning , geology , seismology , paleontology , operating system