| Meta-learning for few-shot bearing fault diagnosis under complex working conditions C Li, S Li, A Zhang, Q He, Z Liao, J Hu Neurocomputing 439, 197-211, 2021 | 219 | 2021 |
| Attention-based deep meta-transfer learning for few-shot fine-grained fault diagnosis C Li, S Li, H Wang, F Gu, AD Ball Knowledge-Based Systems 264, 110345, 2023 | 115 | 2023 |
| A Siamese hybrid neural network framework for few-shot fault diagnosis of fixed-wing unmanned aerial vehicles C Li, S Li, A Zhang, L Yang, E Zio, M Pecht, K Gryllias Journal of Computational Design and Engineering 9 (4), 1511-1524, 2022 | 38 | 2022 |
| A zero-shot fault detection method for UAV sensors based on a novel CVAE-GAN model C Li, K Luo, L Yang, S Li, H Wang, X Zhang, Z Liao IEEE Sensors Journal, 2024 | 33 | 2024 |
| Unified multi-objective genetic algorithm for energy efficient job shop scheduling H Wei, S Li, H Quan, D Liu, S Rao, C Li, J Hu IEEE Access 9, 54542-54557, 2021 | 33 | 2021 |
| A new fuzzy logic classifier based on multiscale permutation entropy and its application in bearing fault diagnosis W Du, X Guo, Z Wang, J Wang, M Yu, C Li, G Wang, L Wang, H Guo, ... Entropy 22 (1), 27, 2019 | 31 | 2019 |
| Small data challenges for intelligent prognostics and health management: a review C Li, S Li, Y Feng, K Gryllias, F Gu, M Pecht Artificial Intelligence Review 57 (8), 214, 2024 | 29 | 2024 |
| A novel method of bearing fault diagnosis in time-frequency graphs using InceptionResnet and deformable convolution networks S Li, W Yang, A Zhang, H Liu, J Huang, C Li, J Hu IEEE Access 8, 92743-92753, 2020 | 27 | 2020 |
| A survey of unmanned aerial vehicle flight data anomaly detection: Technologies, applications, and future directions L Yang, SB Li, CJ Li, AS Zhang, XD Zhang Science China Technological Sciences 66 (4), 901-919, 2023 | 22 | 2023 |
| Gear fault diagnosis through vibration and acoustic signal combination based on convolutional neural network L Yu, X Yao, J Yang, C Li Information 11 (5), 266, 2020 | 19 | 2020 |
| 负载不平衡下小样本数据的轴承故障诊断 何强， 唐向红， 李传江， 陆见光， 陈家兑 中国机械工程 32 (10), 1164-1171, 2021 | 17 | 2021 |
| Data-driven unsupervised anomaly detection and recovery of unmanned aerial vehicle flight data based on spatiotemporal correlation L Yang, SB Li, CJ Li, CC Zhu, AS Zhang, GQ Liang Science China Technological Sciences 66 (5), 1304-1316, 2023 | 15 | 2023 |
| A novel bearing fault diagnosis method based on GL-mRMR-SVM X Tang, Q He, X Gu, C Li, H Zhang, J Lu Processes 8 (7), 784, 2020 | 14 | 2020 |
| A novel transformer-based few-shot learning method for intelligent fault diagnosis with noisy labels under varying working conditions H Wang, C Li, P Ding, S Li, T Li, C Liu, X Zhang, Z Hong Reliability Engineering & System Safety 251, 110400, 2024 | 13 | 2024 |
| An Intelligent Fault Detection Framework for FW‐UAV Based on Hybrid Deep Domain Adaptation Networks and the Hampel Filter Y Zhang, S Li, Q He, A Zhang, C Li, Z Liao International Journal of Intelligent Systems 2023 (1), 6608967, 2023 | 12 | 2023 |
| A novel bearing fault diagnosis method based on few-shot transfer learning across different datasets Y Zhang, S Li, A Zhang, C Li, L Qiu Entropy 24 (9), 1295, 2022 | 11 | 2022 |
| Bearing fault diagnosis method based on small sample data under unbalanced loads 何强， 唐向红， 李传江， 陆见光， 陈家兑 China Mechanical Engineering 32 (10), 1164-1171, 1180, 2021 | 11 | 2021 |
| 联邦学习概述: 技术, 应用及未来 李少波， 杨磊， 李传江， 张安思， 罗瑞士 计算机集成制造系统 28 (7), 2119-2138, 2022 | 9 | 2022 |
| Overview of federated learning: Technology, applications and future LI Shaobo, Y Lei, L Chuanjiang, Z Ansi, LUO Ruishi Computer Integrated Manufacturing System 28 (7), 2119, 2022 | 9 | 2022 |
| A personalized federated meta-learning method for intelligent and privacy-preserving fault diagnosis X Zhang, C Li, C Han, S Li, Y Feng, H Wang, Z Cui, K Gryllias Advanced Engineering Informatics 62, 102781, 2024 | 8 | 2024 |
Prof. Fengshou GuUniversity of Huddersfieldhud.ac.uk üzerinde doğrulanmış e-posta adresine sahip
