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ORCIDAlexander E. Prosvirin
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2020 – today
- 2022
[j13]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: 116868 (2022)- 2021
- [j12]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: 65838-65854 (2021) - [j11]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): 18 (2021) - [j10]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): 6579 (2021) - [j9]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): 5144-5155 (2021) - 2020
- [j8]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: 223030-223040 (2020) - [j7]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): 6443-6463 (2020) - [j6]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): 1884 (2020) - [j5]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): 3105 (2020) - [j4]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): 6265 (2020) - [c4]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: 325-335
2010 – 2019
- 2019
- [j3]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: 121728-121741 (2019) - 2018
- [j2]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): 2040 (2018) - [j1]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): 6719-6729 (2018) - [c3]Sheraz Ali Khan, Alexander E. Prosvirin, Jong-Myon Kim:
Towards bearing health prognosis using generative adversarial networks: Modeling bearing degradation. ICACS 2018: 1-6 - [c2]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: 147-155 - 2017
- [c1]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: 21-26
Coauthor Index
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