| A comprehensive review on DC arc faults and their diagnosis methods in photovoltaic systems S Lu, BT Phung, D Zhang Renewable and Sustainable Energy Reviews 89, 88-98, 2018 | 172 | 2018 |
| A novel optical sensing technology for monitoring voltage and current of overhead power lines L Silvestri, Y Chen, Z Brodzeli, T Sirojan, S Lu, Z Liu, T Phung, ... IEEE sensors journal 21 (23), 26699-26707, 2021 | 11 | 2021 |
| An Experimental Study of Low-Current DC Series Arc Faults for Condition Monitoring Purpose S Lu, H Chai, BT Phung, D Zhang AIM, 2019 | 1 | 2019 |
| Apparatus and process for real-time detection of high-impedance faults in power lines S Tharmakulasingam, LU Shibo, BT Phung, E Ambikairajah US Patent App. 17/773,951, 2022 | | 2022 |
| Apparatus And Process For Real-time Detection Of High-impedance Faults In Power Lines SIROJAN, Tharmakulasingam, S LU, BT PHUNG, E AMBIKAIRAJAH WO Patent WO2,021,087,543, 2021 | | 2021 |
| Arcing fault detection in the scenario with renewable energy generation S Lu, D Zhang, T Phung IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society …, 2017 | 8 | 2017 |
| Comparative study of partial discharge localization based on UHF detection methods H Chai, S Lu, BT Phung, S Mitchell AIM, 2019 | 11 | 2019 |
| Condition monitoring based on partial discharge diagnostics using machine learning methods: A comprehensive state-of-the-art review S Lu, H Chai, A Sahoo, BT Phung IEEE Transactions on Dielectrics and Electrical Insulation 27 (6), 1861-1888, 2020 | 149 | 2020 |
| DA-DCGAN: An effective methodology for DC series arc fault diagnosis in photovoltaic systems S Lu, T Sirojan, BT Phung, D Zhang, E Ambikairajah IEEE Access 7, 45831-45840, 2019 | 123 | 2019 |
| DC series arc fault detection using machine learning in photovoltaic systems: Recent developments and challenges S Lu, A Sahoo, R Ma, BT Phung 2020 8th International Conference on Condition Monitoring and Diagnosis (CMD …, 2020 | 14 | 2020 |
| Differential evolution-based overcurrent protection for DC microgrids M Li, D Zhang, S Lu, X Tang, T Phung Energies 14 (16), 5026, 2021 | 12 | 2021 |
| Embedded edge computing for real-time smart meter data analytics T Sirojan, S Lu, BT Phung, E Ambikairajah 2019 International Conference on Smart Energy Systems and Technologies (SEST …, 2019 | 48 | 2019 |
| High Impedance Fault Detection by Convolutional Deep Neural Network T Sirojan, S Lu, BT Phung, D Zhang, E Ambikairajah 2018 IEEE International Conference on High Voltage Engineering and …, 2018 | 8 | 2018 |
| Intelligent DC Series Arc Fault Detection using Deep Learning in Photovoltaic Systems S Lu UNSW Sydney, 2021 | | 2021 |
| Lightweight transfer nets and adversarial data augmentation for photovoltaic series arc fault detection with limited fault data S Lu, R Ma, T Sirojan, BT Phung, D Zhang International Journal of Electrical Power & Energy Systems 130, 107035, 2021 | 31 | 2021 |
| Power quality monitoring of single-wire-earth-return distribution feeders R Song, S Lu, T Sirojan, BT Phung, E Ambikairajah 2017 International Conference on High Voltage Engineering and Power Systems …, 2017 | 11 | 2017 |
| Series arc fault detection in dc microgrid using hybrid detection method M Li, S Lu, D Zhang, BT Phung IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society …, 2018 | 5 | 2018 |
| Study on DC series arc fault in photovoltaic systems for condition monitoring purpose S Lu, BT Phung, D Zhang 2017 Australasian Universities Power Engineering Conference (AUPEC), 1-6, 2017 | 26 | 2017 |
| Sustainable Deep Learning at Grid Edge for Real-time High Impedance Fault Detection T Sirojan, S Lu, BT Phung, D Zhang, E Ambikairajah IEEE Transactions on Sustainable Computing, 2018 | 63 | 2018 |
Professor Eliathamby AmbikairajahUniversity of New South Wales在 ee.unsw.edu.au 的电子邮件经过验证
