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.
Danil Shaykhutdinov, Anton Lankin, Nuri Narakidze, Valeriy Grechikhin, Konstantin Shirokov and Nikolay Gorbatenko, 2015. Complex Predict Fault Diagnostics of Electromagnetic Actuators Based on the Principle Component Analyses. Research Journal of Applied Sciences, 10: 555-557.