Danil  Shaykhutdinov, Anton  Lankin, Nuri  Narakidze, Valeriy  Grechikhin, Konstantin  Shirokov, Nikolay  Gorbatenko, 
    Complex Predict Fault Diagnostics of Electromagnetic Actuators Based on the Principle Component Analyses,
    Research Journal of Applied Sciences,
    Volume 10,Issue 10,
    2015,
    Pages 555-557,
    ISSN 1815-932x,
    rjasci.2015.555.557,
    (https://makhillpublications.co/view-article.php?doi=rjasci.2015.555.557)
    Abstract: 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.
    Keywords: Electromagnetic actuators;flux-current characteristics of the operating cycle;predict diagnostics;principle component analyses;diagnosis