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Viet Tra
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2020 – today
- 2024
- [j4]Viet Tra, Manar Amayri, Nizar Bouguila:
Unsupervised Fault Detection for Building Air Handling Unit Systems Using Deep Variational Mixture of Principal Component Analyzers. IEEE Trans Autom. Sci. Eng. 21(4): 6787-6803 (2024) - 2023
- [c3]Viet Tra, Hussein Al-Bazzaz, Manar Amayri, Nizar Bouguila:
Unsupervised Anomaly Detection using Deep Autoencoding Mixture of Probabilistic Principal Component Analyzers. ICIIT 2023: 203-208 - 2020
- [j3]Viet Tra, Jongmyon Kim:
Pressure Vessel Diagnosis by Eliminating Undesired Signal Sources and Incorporating GA-Based Fault Feature Evaluation. IEEE Access 8: 134653-134667 (2020)
2010 – 2019
- 2019
- [j2]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
- [c2]Viet Tra, Bach Phi Duong, Jong-Myon Kim:
Separability Index-Based Feature Selection and a Two-Tier Classifier for Improving Diagnostic Performance in Bearings. ICISP 2018: 99-107 - 2017
- [j1]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) - 2016
- [c1]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
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