Research Journal of Applied Sciences

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Complex Predict Fault Diagnostics of Electromagnetic Actuators Based on the Principle Component Analyses

Danil Shaykhutdinov, Anton Lankin, Nuri Narakidze, Valeriy Grechikhin, Konstantin Shirokov and Nikolay Gorbatenko
Page: 555-557 | Received 21 Sep 2022, Published online: 21 Sep 2022

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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.

How to cite this article:

Danil Shaykhutdinov, Anton Lankin, Nuri Narakidze, Valeriy Grechikhin, Konstantin Shirokov and Nikolay Gorbatenko. Complex Predict Fault Diagnostics of Electromagnetic Actuators Based on the Principle Component Analyses.
DOI: https://doi.org/10.36478/rjasci.2015.555.557
URL: https://www.makhillpublications.co/view-article/1815-932x/rjasci.2015.555.557