| Bearing fault diagnosis under variable speed using convolutional neural networks and the stochastic diagonal levenberg-marquardt algorithm V Tra, J Kim, SA Khan, JM Kim Sensors 17 (12), 2834, 2017 | 73 | 2017 |
| Improving diagnostic performance of a power transformer using an adaptive over-sampling method for imbalanced data V Tra, BP Duong, JM Kim IEEE Transactions on Dielectrics and Electrical Insulation 26 (4), 1325-1333, 2019 | 63 | 2019 |
| Incipient fault diagnosis in bearings under variable speed conditions using multiresolution analysis and a weighted committee machine V Tra, J Kim, SA Khan, JM Kim The Journal of the Acoustical Society of America 142 (1), EL35-EL41, 2017 | 28 | 2017 |
| Outlier detection via multiclass deep autoencoding Gaussian mixture model for building chiller diagnosis V Tra, M Amayri, N Bouguila Energy and Buildings 259, 111893, 2022 | 22 | 2022 |
| An acoustic emission technique for crack modes classification in concrete structures V Tra, JY Kim, I Jeong, JM Kim Sustainability 12 (17), 6724, 2020 | 22 | 2020 |
| Diagnosis of bearing defects under variable speed conditions using energy distribution maps of acoustic emission spectra and convolutional neural networks V Tra, SA Khan, JM Kim The Journal of the Acoustical Society of America 144 (4), EL322-EL327, 2018 | 19 | 2018 |
| Pressure vessel diagnosis by eliminating undesired signal sources and incorporating GA-based fault feature evaluation V Tra, J Kim IEEE Access 8, 134653-134667, 2020 | 10 | 2020 |
| Unsupervised outlier detection using neural network-based mixtures of probabilistic principal component analyzers for building chiller fault diagnosis V Tra, M Amayri, N Bouguila Building and Environment 225, 109620, 2022 | 9 | 2022 |
| Improving the performance of storage tank fault diagnosis by removing unwanted components and utilizing wavelet-based features V Tra, BP Duong, JY Kim, M Sohaib, JM Kim Entropy 21 (2), 145, 2019 | 8 | 2019 |
| Health indicators construction and remaining useful life estimation for concrete structures using deep neural networks V Tra, TK Nguyen, CH Kim, JM Kim Applied Sciences 11 (9), 4113, 2021 | 7 | 2021 |
| Fault diagnosis of bearings with variable rotational speeds using convolutional neural networks V Tra, J Kim, JM Kim Advances in Computer Communication and Computational Sciences: Proceedings …, 2019 | 7 | 2019 |
| Unsupervised Fault Detection for Building Air Handling Unit Systems Using Deep Variational Mixture of Principal Component Analyzers V Tra, M Amayri, N Bouguila IEEE Transactions on Automation Science and Engineering, 2023 | 1 | 2023 |
| Accelerating Envelope Analysis-Based Fault Diagnosis Using a General-Purpose Graphics Processing Unit V Tra, S Uddin, J Kim, CH Kim, J Kim Integrated Uncertainty in Knowledge Modelling and Decision Making: 5th …, 2016 | 1 | 2016 |
| Unsupervised Anomaly Detection using Deep Autoencoding Mixture of Probabilistic Principal Component Analyzers V Tra, H Al-Bazzaz, M Amayri, N Bouguila Proceedings of the 2023 8th International Conference on Intelligent …, 2023 | | 2023 |
| Improving Bearing Diagnostic Performance by Using New Discriminatory Fault-Feature Evaluation V Tra, JM Kim Advances in Acoustic Emission Technology: Proceedings of the World …, 2021 | | 2021 |
| Separability Index-Based Feature Selection and a Two-Tier Classifier for Improving Diagnostic Performance in Bearings V Tra, BP Duong, JM Kim Image and Signal Processing: 8th International Conference, ICISP 2018 …, 2018 | | 2018 |
