| Application of machine vision for tool condition monitoring and tool performance optimization–a review T Banda, AA Farid, C Li, VL Jauw, CS Lim The International Journal of Advanced Manufacturing Technology 121 (11 …, 2022 | 33 | 2022 |
| Characterization of tool wear mechanisms and failure modes of TiAlN-NbN coated carbide inserts in face milling of Inconel 718 T Banda, KY Ho, A Akhavan Farid, CS Lim Journal of Materials Engineering and Performance, 1-12, 2022 | 14 | 2022 |
| Machine vision and convolutional neural networks for tool wear identification and classification T Banda, BYW Jie, AA Farid, CS Lim Recent Trends in Mechatronics Towards Industry 4.0: Selected Articles from …, 2022 | 13 | 2022 |
| A machine learning model for flank wear prediction in face milling of Inconel 718 T Banda, Y Liu, AA Farid, CS Lim The International Journal of Advanced Manufacturing Technology 126 (3), 935-945, 2023 | 7 | 2023 |
| Design and Performance Evaluation of a Multi-Temperature Flat Plate Solar Collector SJ Zwalnan, GA Duvuna, YA Abakr, T Banda International Journal of Renewable Energy Development 10 (3), 537, 2021 | 7 | 2021 |
| Recent Trends in Mechatronics Towards Industry 4.0 T Banda, BY Jie, AA Farid, CS Lim Springer, 2022 | 5 | 2022 |
| Flank wear prediction using spatial binary properties and artificial neural network in face milling of Inconel 718 T Banda, VL Jauw, C Li, A Akhavan Farid, CS Lim The International Journal of Advanced Manufacturing Technology 120 (7), 4387 …, 2022 | 4 | 2022 |
| In-process detection of failure modes using YOLOv3-based on-machine vision system in face milling Inconel 718 T Banda, VL Jauw, AA Farid, NH Wen, KCW Xuan, CS Lim The International Journal of Advanced Manufacturing Technology 128 (9-10 …, 2023 | 3 | 2023 |
| Advances and limitations in machine learning approaches applied to remaining useful life predictions: a critical review X Qiao, VL Jauw, LC Seong, T Banda The International Journal of Advanced Manufacturing Technology, 1-18, 2024 | 2 | 2024 |
| Multi-sectional SVD-based machine learning for imagery signal processing and tool wear prediction during CNC milling of Inconel 718 T Banda, VL Jauw, C Li, AA Farid, CS Lim The International Journal of Advanced Manufacturing Technology, 1-18, 2024 | 1 | 2024 |
| Comparative study of temperature prediction in the machining process of Ti-6Al-4V, Inconel 718 and AISI4340 using numerical analysis T Banda, KC Wong, AA Farid, CS Lim Recent Trends in Manufacturing and Materials Towards Industry 4.0: Selected …, 2021 | 1 | 2021 |
| Investigation of Tool Wear Mechanisms in Face Milling of Inconel 718 with Different Cutting Fluids T Banda, MS Song, AA Farid, CS Lim Enabling Industry 4.0 through Advances in Manufacturing and Materials …, 2022 | | 2022 |
| Degradation Pattern Learning Utilizing Time-Transformer and Denoise Auto-Encoder for Remaining Useful Life Prediction Q Xianpeng, VL Jauw, T Banda, CS Lim Available at SSRN 5067077, 0 | | |
| Condition monitoring of tool performance using a machine learning-based on-machine vision system during face milling of Inconel 718 T Banda University of Nottingham, 0 | | |
Ali A. FaridThe University of Nottingham, Malaysia CampusEmail verificata su nottingham.edu.my