| An unsupervised artificial neural network versus a rule-based approach for fault detection and identification in an automated assembly machine H Fernando, B Surgenor Robotics and Computer-Integrated Manufacturing 43, 79-88, 2017 | 45 | 2017 |
| Iterative learning-based admittance control for autonomous excavation H Fernando, JA Marshall, J Larsson Journal of Intelligent & Robotic Systems 96, 493-500, 2019 | 29 | 2019 |
| Can a data center heat-flow model be scaled down? H Fernando, J Siriwardana, S Halgamuge 2012 IEEE 6th International Conference on Information and Automation for …, 2012 | 29 | 2012 |
| What lies beneath: Material classification for autonomous excavators using proprioceptive force sensing and machine learning H Fernando, J Marshall Automation in Construction 119, 103374, 2020 | 26 | 2020 |
| Towards controlling bucket fill factor in robotic excavation by learning admittance control setpoints HA Fernando, JA Marshall, H Almqvist, J Larsson Field and Service Robotics: Results of the 11Th International Conference, 35-48, 2018 | 22 | 2018 |
| Video event detection for fault monitoring in assembly automation K Hughes, H Fernando, G Szkilnyk, B Surgenor, M Greenspan International Journal of Intelligent Systems Technologies and Applications …, 2014 | 15 | 2014 |
| Effect of illumination techniques on machine vision inspection for automated assembly machines V Chauhan, H Fernando, B Surgenor Proceedings of The Canadian Society for Mechanical Engineering (CSME …, 2014 | 10 | 2014 |
| Video event fault detection with stvs: Application to a high speed assembly machine H Fernando, K Hughes, G Szkilnyk, B Surgenor, M Greenspan Proceedings of NAMRI/SME 41, 2013 | 5 | 2013 |
| Artificial neural networks for fault detection and identification on an automated assembly machine HA Fernando MA Sc. Thesis, Mechanical and Materials Engineering Department, Queen's …, 2014 | 3 | 2014 |
| Automatic Material Classification via Proprioceptive Sensing and Wavelet Analysis During Excavation U Artan, H Fernando, JA Marshall 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2021 | 2 | 2021 |
| Control and Learning for Robotic Excavation HA Fernando Queen's University (Canada), 2021 | 2 | 2021 |
| Development of an IoT Monitoring System for Bridge Bearing Movement using a MEMS Accelerometer-based Inclination Sensing H Fernando, I Heykoop, J Woods, N Hoult 2022 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE …, 2022 | 1 | 2022 |
| Image-based versus signal-based sensors for machine fault detection and isolation H Fernando, V Chauhan, B Surgenor Engineering Systems Design and Analysis 45851, V003T15A002, 2014 | 1 | 2014 |
| An artificial neural network based on adaptive resonance theory for fault classification on an automated assembly machine H Fernando, B Surgenor DEStech Publications, Inc., 2014 | 1 | 2014 |
| Development and field evaluation of a low-cost bridge bearing movement monitoring system I Heykoop, N Hoult, JE Woods, H Fernando Journal of Civil Structural Health Monitoring, 1-16, 2024 | | 2024 |
| Data-informed statistical finite element analysis of rail buckling F Sun, E Febrianto, H Fernando, LJ Butler, F Cirak, NA Hoult Computers & Structures 289, 107163, 2023 | | 2023 |
Brian SurgenorProfessor of Mechanical Engineering, Queen's UniversityVerified email at me.queensu.ca
