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Strict-Feedback Backstepping Digital Twin and Machine Learning Solution in AE Signals for Bearing Crack Identification.
Sensors (Basel). 2022 Jan 11;22(2):539. doi: 10.3390/s22020539.
Sensors (Basel). 2022.
PMID: 35062499
Free PMC article.
Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers.
Toma RN, Prosvirin AE, Kim JM.
Toma RN, et al.
Sensors (Basel). 2020 Mar 28;20(7):1884. doi: 10.3390/s20071884.
Sensors (Basel). 2020.
PMID: 32231167
Free PMC article.
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A Deep Autoencoder-Based Convolution Neural Network Framework for Bearing Fault Classification in Induction Motors.
Toma RN, Piltan F, Kim JM.
Toma RN, et al.
Sensors (Basel). 2021 Dec 18;21(24):8453. doi: 10.3390/s21248453.
Sensors (Basel). 2021.
PMID: 34960552
Free PMC article.
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A Bearing Fault Classification Framework Based on Image Encoding Techniques and a Convolutional Neural Network under Different Operating Conditions.
Toma RN, Piltan F, Im K, Shon D, Yoon TH, Yoo DS, Kim JM.
Toma RN, et al.
Sensors (Basel). 2022 Jun 28;22(13):4881. doi: 10.3390/s22134881.
Sensors (Basel). 2022.
PMID: 35808372
Free PMC article.
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Classification Framework of the Bearing Faults of an Induction Motor Using Wavelet Scattering Transform-Based Features.
Toma RN, Gao Y, Piltan F, Im K, Shon D, Yoon TH, Yoo DS, Kim JM.
Toma RN, et al.
Sensors (Basel). 2022 Nov 19;22(22):8958. doi: 10.3390/s22228958.
Sensors (Basel). 2022.
PMID: 36433553
Free PMC article.
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