Alexander E. Prosvirin

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 17

Top Topics

Fault Diagnosis

Empirical Mode Decomposition

Acoustic Emission

Machine Learning

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Alexander E. Prosvirin, Andrei S. Maliuk, Jong-Myon Kim
Intelligent rubbing fault identification using multivariate signals and a multivariate one-dimensional convolutional neural network. Expert Syst. Appl. 198 (2022)
Alexander E. Prosvirin, Zahoor Ahmad, Jong-Myon Kim
Global and Local Feature Extraction Using a Convolutional Autoencoder and Neural Networks for Diagnosing Centrifugal Pump Mechanical Faults. IEEE Access 9 (2021)
Cong Dai Nguyen, Alexander E. Prosvirin, Cheol Hong Kim, Jong-Myon Kim
Construction of a Sensitive and Speed Invariant Gearbox Fault Diagnosis Model Using an Incorporated Utilizing Adaptive Noise Control and a Stacked Sparse Autoencoder-Based Deep Neural Network. Sensors 21 (1) (2021)
Alexander E. Prosvirin, Farzin Piltan, Jong-Myon Kim
Hybrid Rubbing Fault Identification Using a Deep Learning-Based Observation Technique. IEEE Trans. Neural Networks Learn. Syst. 32 (11) (2021)
Andrei S. Maliuk, Alexander E. Prosvirin, Zahoor Ahmad, Cheol Hong Kim, Jong-Myon Kim
Novel Bearing Fault Diagnosis Using Gaussian Mixture Model-Based Fault Band Selection. Sensors 21 (19) (2021)
Farzin Piltan, Alexander E. Prosvirin, Jong-Myon Kim
Robot manipulator active fault-tolerant control using a machine learning-based automated robust hybrid observer. J. Intell. Fuzzy Syst. 39 (5) (2020)
Cong Dai Nguyen, Alexander E. Prosvirin, Jong-Myon Kim
Fault Identification of Multi-level Gear Defects Using Adaptive Noise Control and a Genetic Algorithm. IHCI (1) (2020)
Rafia Nishat Toma, Alexander E. Prosvirin, Jong-Myon Kim
Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers. Sensors 20 (7) (2020)
Cong Dai Nguyen, Alexander E. Prosvirin, Jong-Myon Kim
A Reliable Fault Diagnosis Method for a Gearbox System with Varying Rotational Speeds. Sensors 20 (11) (2020)
Zahoor Ahmad, Alexander E. Prosvirin, Jaeyoung Kim, Jong-Myon Kim
Multistage Centrifugal Pump Fault Diagnosis by Selecting Fault Characteristic Modes of Vibration and Using Pearson Linear Discriminant Analysis. IEEE Access 8 (2020)
Alexander E. Prosvirin, Farzin Piltan, Jong-Myon Kim
Blade Rub-Impact Fault Identification Using Autoencoder-Based Nonlinear Function Approximation and a Deep Neural Network. Sensors 20 (21) (2020)
Alexander E. Prosvirin, M. M. Manjurul Islam, Jong-Myon Kim
An Improved Algorithm for Selecting IMF Components in Ensemble Empirical Mode Decomposition for Domain of Rub-Impact Fault Diagnosis. IEEE Access 7 (2019)
M. M. Manjurul Islam, Alexander E. Prosvirin, Jong-Myon Kim
Intelligent Rub-Impact Fault Diagnosis Based on Genetic Algorithm-Based IMF Selection in Ensemble Empirical Mode Decomposition and Diverse Features Models. IDEAL (1) (2018)
Sheraz Ali Khan, Alexander E. Prosvirin, Jong-Myon Kim
Towards bearing health prognosis using generative adversarial networks: Modeling bearing degradation. ICACS (2018)
Alexander E. Prosvirin, M. M. Manjurul Islam, Jaeyoung Kim, Jong-Myon Kim
Rub-Impact Fault Diagnosis Using an Effective IMF Selection Technique in Ensemble Empirical Mode Decomposition and Hybrid Feature Models. Sensors 18 (7) (2018)
Dileep Kumar Appana, Alexander E. Prosvirin, Jong-Myon Kim
Reliable fault diagnosis of bearings with varying rotational speeds using envelope spectrum and convolution neural networks. Soft Comput. 22 (20) (2018)
Alexander E. Prosvirin, Jaeyoung Kim, Jong-Myon Kim
Bearing Fault Diagnosis Based on Convolutional Neural Networks with Kurtogram Representation of Acoustic Emission Signals. CSA/CUTE (2017)