Alexander E. Prosvirin
According to our database1, Alexander E. Prosvirin authored at least 8 papers between 2017 and 2020.
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Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers.
A Reliable Fault Diagnosis Method for a Gearbox System with Varying Rotational Speeds.
An Improved Algorithm for Selecting IMF Components in Ensemble Empirical Mode Decomposition for Domain of Rub-Impact Fault Diagnosis.
IEEE Access, 2019
Reliable fault diagnosis of bearings with varying rotational speeds using envelope spectrum and convolution neural networks.
Soft Comput., 2018
Rub-Impact Fault Diagnosis Using an Effective IMF Selection Technique in Ensemble Empirical Mode Decomposition and Hybrid Feature Models.
Intelligent Rub-Impact Fault Diagnosis Based on Genetic Algorithm-Based IMF Selection in Ensemble Empirical Mode Decomposition and Diverse Features Models.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
Towards bearing health prognosis using generative adversarial networks: Modeling bearing degradation.
Proceedings of the International Conference on Advancements in Computational Sciences, 2018
Bearing Fault Diagnosis Based on Convolutional Neural Networks with Kurtogram Representation of Acoustic Emission Signals.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2017