Open AccessForecasting of the electrical actuators condition using stator’s current signals
Author(s) -
Т. Круглова,
I. V. Yaroshenko,
Nikolai Rabotalov,
М. А. Мельников
Publication year - 2017
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/177/1/012140
Subject(s) - actuator , stator , artificial neural network , computer science , transformation (genetics) , control theory (sociology) , control engineering , current (fluid) , artificial intelligence , engineering , control (management) , electrical engineering , biochemistry , chemistry , gene