@article{MAKHILLRJAS201510109646,
    title = {Complex Predict Fault Diagnostics of Electromagnetic Actuators Based on the Principle Component Analyses},
    journal = {Research Journal of Applied Sciences},
    volume = {10},
    number = {10},
    pages = {555-557},
    year = {2015},
    issn = {1815-932x},
    doi = {rjasci.2015.555.557},
    url = {https://makhillpublications.co/view-article.php?issn=1815-932x&doi=rjasci.2015.555.557},
    author = {Danil,Anton,Nuri,Valeriy,Konstantin and},
    keywords = {Electromagnetic actuators,flux-current characteristics of the operating cycle,predict diagnostics,principle component analyses,diagnosis},
    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.}
    }