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ORCIDJong-Myon Kim
- > Home > Persons > Jong-Myon Kim
Publications
- 2023
[c89]Zahoor Ahmad
, Niamat Ullah, Wasim Zaman, Muhammad Farooq Siddique, Jaeyoung Kim, Jong-Myon Kim:
A Framework for Centrifugal Pump Diagnosis Using Health Sensitivity Ratio Based Feature Selection and KNN. ACPR (2) 2023: 170-179- [c85]Zahoor Ahmad, Muhammad Farooq Siddique, Niamat Ullah, Jaeyoung Kim, Jong-Myon Kim:
Centrifugal Pump Health Condition Identification Based on Novel Multi-filter Processed Scalograms and CNN. IHCI (2) 2023: 162-170 - 2020
- [j75]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) - 2019
- [j60]Viet Tra, Bach Phi Duong, Jaeyoung Kim, Muhammad Sohaib, Jong-Myon Kim:
Improving the Performance of Storage Tank Fault Diagnosis by Removing Unwanted Components and Utilizing Wavelet-Based Features. Entropy 21(2): 145 (2019) - 2018
- [j49]Hung Nguyen Ngoc, Jaeyoung Kim, Jong-Myon Kim:
Optimal Sub-Band Analysis Based on the Envelope Power Spectrum for Effective Fault Detection in Bearing under Variable, Low Speeds. Sensors 18(5): 1389 (2018) - [j48]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) - [j45]M. M. Manjurul Islam, Muhammad Sohaib, Jaeyoung Kim, Jong-Myon Kim:
Crack Classification of a Pressure Vessel Using Feature Selection and Deep Learning Methods. Sensors 18(12): 4379 (2018) - [c69]Yu-Hyun Kim, In-Kyu Jeong, Jaeyoung Kim, Jae-Kyo Ban, Jong-Myon Kim:
Development of an Intelligent Diagnosis System for Detecting Leakage of Circulating Fluidized Bed Boiler Tubes. HIS 2018: 311-320 - [c67]Hung Nguyen Ngoc, Jaeyoung Kim, Jong-Myon Kim:
An Effective Envelope Analysis Using Gaussian Windows for Evaluation of Fault Severity in Bearing. ICISA 2018: 457-464 - [c60]Young-Hun Kim, Jaeyoung Kim, Jong-Myon Kim:
Leakage Detection of a Boiler Tube Using a Genetic Algorithm-like Method and Support Vector Machines. SoCPaR 2018: 86-93 - 2017
- [j39]Viet Tra, Jaeyoung Kim, Sheraz Ali Khan, Jong-Myon Kim:
Bearing Fault Diagnosis under Variable Speed Using Convolutional Neural Networks and the Stochastic Diagonal Levenberg-Marquardt Algorithm. Sensors 17(12): 2834 (2017) - [c54]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 - 2016
- [j31]Myeongsu Kang, Md. Rashedul Islam, Jaeyoung Kim, Jong-Myon Kim, Michael G. Pecht:
A Hybrid Feature Selection Scheme for Reducing Diagnostic Performance Deterioration Caused by Outliers in Data-Driven Diagnostics. IEEE Trans. Ind. Electron. 63(5): 3299-3310 (2016) - [j30]Myeongsu Kang, Jaeyoung Kim, In-Kyu Jeong, Jong-Myon Kim, Michael G. Pecht:
A Massively Parallel Approach to Real-Time Bearing Fault Detection Using Sub-Band Analysis on an FPGA-Based Multicore System. IEEE Trans. Ind. Electron. 63(10): 6325-6335 (2016) - [c49]Jaeyoung Kim, Hung Nguyen Ngoc, Jongmyon Kim:
A New Fault Classification Scheme Using Vibration Signal Signatures and the Mahalanobis Distance. IUKM 2016: 230-241 - [c48]Viet Tra, Md. Sharif Uddin, Jaeyoung Kim, Cheol Hong Kim, Jongmyon Kim:
Accelerating Envelope Analysis-Based Fault Diagnosis Using a General-Purpose Graphics Processing Unit. IUKM 2016: 409-420 - 2015
- [j24]Myeongsu Kang, Jaeyoung Kim, Jong-Myon Kim:
Reliable fault diagnosis for incipient low-speed bearings using fault feature analysis based on a binary bat algorithm. Inf. Sci. 294: 423-438 (2015) - [j23]Myeongsu Kang, Jaeyoung Kim, Jong-Myon Kim:
Corrigendum to "Reliable fault diagnosis for incipient low-speed bearings using fault feature analysis based on a binary bat algorithm" [Inform. Sci. 294 (2015) 423-438]. Inf. Sci. 308: 155 (2015) - [j22]Myeongsu Kang, Jaeyoung Kim, Jong-Myon Kim, Andy Chit Chiow Tan, Eric Y. Kim, Byeong-Keun Choi:
Corrigendum to "Reliable fault diagnosis for incipient low-speed bearings using feature analysis based on a binary bat algorithm" [Inform. Sci. 294(2015) 423-438]. Inf. Sci. 311: 205-206 (2015) - [j19]Myeongsu Kang, Jaeyoung Kim, Jong-Myon Kim:
An FPGA-Based Multicore System for Real-Time Bearing Fault Diagnosis Using Ultrasampling Rate AE Signals. IEEE Trans. Ind. Electron. 62(4): 2319-2329 (2015) - [j18]Myeongsu Kang, Jaeyoung Kim, Linda M. Wills, Jong-Myon Kim:
Time-Varying and Multiresolution Envelope Analysis and Discriminative Feature Analysis for Bearing Fault Diagnosis. IEEE Trans. Ind. Electron. 62(12): 7749-7761 (2015) - [j16]Jaeyoung Kim, Myeongsu Kang, Md. Shohidul Islam, Cheol Hong Kim, Jong-Myon Kim:
A fast and energy-efficient Hamming decoder for software-defined radio using graphics processing units. J. Supercomput. 71(7): 2454-2472 (2015) - [c45]Jaeyoung Kim, Myeongsu Kang, In-Kyu Jeong, Heesung Jun, Jong-Myon Kim, Byeong-Keun Choi:
Real-time and energy-efficient bearing fault diagnosis using discriminative wavelet-based fault features on a multi-core system. ICPHM 2015: 1-11 - 2014
- [c44]Won-Chul Jang, Myeongsu Kang, Jaeyoung Kim, Jong-Myon Kim, Hung Nguyen Ngoc:
Reliable condition monitoring of an induction motor using a genetic algorithm based method. CIES 2014: 37-41 - [c35]Phuong Nguyen, Myeongsu Kang, Jaeyoung Kim, Jong-Myon Kim, Andy Chit Chiow Tan, Eric Y. Kim:
Reliable Fault Diagnosis of Low-Speed Bearing Defects Using a Genetic Algorithm. PRICAI 2014: 248-255
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