标题/作者	年份
Tackling climate change with machine learning D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ... ACM Computing Surveys (CSUR) 55 (2), 1-96	2022
An improved deep convolutional neural network with multi-scale information for bearing fault diagnosis W Huang, J Cheng, Y Yang, G Guo Neurocomputing 359, 77-92	2019
Computer vision for behaviour-based safety in construction: A review and future directions W Fang, PED Love, H Luo, L Ding Advanced Engineering Informatics 43, 100980	2020
Insulator detection in aerial images for transmission line inspection using single shot multibox detector X Miao, X Liu, J Chen, S Zhuang, J Fan, H Jiang IEEE Access 7, 9945-9956	2019
Intelligent monitoring and inspection of power line components powered by UAVs and deep learning R Jenssen, D Roverso IEEE Power and energy technology systems journal 6 (1), 11-21	2019
IN-YOLO: Real-time detection of outdoor high voltage insulators using UAV imaging D Sadykova, D Pernebayeva, M Bagheri, A James IEEE Transactions on Power Delivery 35 (3), 1599-1601	2019
Computer vision applications in construction safety assurance W Fang, L Ding, PED Love, H Luo, H Li, F Pena-Mora, B Zhong, C Zhou Automation in Construction 110, 103013	2020
Power transmission line inspection robots: A review, trends and challenges for future research AB Alhassan, X Zhang, H Shen, H Xu International Journal of Electrical Power & Energy Systems 118, 105862	2020
A novel data-driven approach for transient stability prediction of power systems considering the operational variability Y Zhou, Q Guo, H Sun, Z Yu, J Wu, L Hao International Journal of Electrical Power & Energy Systems 107, 379-394	2019
Short-term wind speed forecasting framework based on stacked denoising auto-encoders with rough ANN H Jahangir, MA Golkar, F Alhameli, A Mazouz, A Ahmadian, A Elkamel Sustainable Energy Technologies and Assessments 38, 100601	2020
Insulator fault detection in aerial images based on ensemble learning with multi-level perception H Jiang, X Qiu, J Chen, X Liu, X Miao, S Zhuang IEEE Access 7, 61797-61810	2019
A method of insulator faults detection in aerial images for high-voltage transmission lines inspection J Han, Z Yang, Q Zhang, C Chen, H Li, S Lai, G Hu, C Xu, H Xu, D Wang, ... Applied Sciences 9 (10), 2009	2019
A methodology for security classification applied to smart grid infrastructures M Shrestha, C Johansen, J Noll, D Roverso International Journal of Critical Infrastructure Protection 28, 100342	2020
Using deep learning to identify utility poles with crossarms and estimate their locations from google street view images W Zhang, C Witharana, W Li, C Zhang, X Li, J Parent Sensors 18 (8), 2484	2018
An accurate and real-time method of self-blast glass insulator location based on faster R-CNN and U-net with aerial images Z Ling, D Zhang, RC Qiu, Z Jin, Y Zhang, X He, H Liu CSEE Journal of Power and Energy Systems 5 (4), 474-482	2019
Deep-learning-based neural network training for state estimation enhancement: Application to attitude estimation MK Al-Sharman, Y Zweiri, MAK Jaradat, R Al-Husari, D Gan, ... IEEE Transactions on Instrumentation and Measurement 69 (1), 24-34	2019
A review on state-of-the-art power line inspection techniques L Yang, J Fan, Y Liu, E Li, J Peng, Z Liang IEEE Transactions on Instrumentation and Measurement 69 (12), 9350-9365	2020
Detection method based on automatic visual shape clustering for pin-missing defect in transmission lines Z Zhao, H Qi, Y Qi, K Zhang, Y Zhai, W Zhao IEEE Transactions on Instrumentation and Measurement 69 (9), 6080-6091	2020
Icing-EdgeNet: A pruning lightweight edge intelligent method of discriminative driving channel for ice thickness of transmission lines B Wang, F Ma, L Ge, H Ma, H Wang, MA Mohamed IEEE transactions on instrumentation and measurement 70, 1-12	2020
Insulator visual non-conformity detection in overhead power distribution lines using deep learning RM Prates, R Cruz, AP Marotta, RP Ramos, EF Simas Filho, JS Cardoso Computers & Electrical Engineering 78, 343-355	2019

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