TY  - JOUR
T1  - Complex Predict Fault Diagnostics of Electromagnetic Actuators Based on the Principle Component Analyses
AU - Shaykhutdinov, Danil AU - Lankin, Anton AU - Narakidze, Nuri AU - Grechikhin, Valeriy AU - Shirokov, Konstantin AU - Gorbatenko, Nikolay 
JO  - Research Journal of Applied Sciences
VL  - 10
IS  - 10
SP  - 555
EP  - 557
PY  - 2015
DA  - 2001/08/19
SN  - 1815-932x
DO  - rjasci.2015.555.557
UR  - https://makhillpublications.co/view-article.php?doi=rjasci.2015.555.557
KW  - Electromagnetic actuators
KW  -flux-current characteristics of the operating cycle
KW  -predict diagnostics
KW  -principle component analyses
KW  -diagnosis
AB  - The study describes a method of complex predict diagnosis of electromagnetic actuators based on their magnetic flux-current characteristics. Principle Component Analyses (PCA) is used as a diagnostic algorithm, it allows to reduce the source data dimension. Particular defect of the electromagnetic actuator is assessed by accumulation of points in a certain region of space. To predict possible failures of investigated actuators regression model is used.
ER  -