| Novel joint transfer network for unsupervised bearing fault diagnosis from simulation domain to experimental domain Y Xiao, H Shao, SY Han, Z Huo, J Wan IEEE/ASME Transactions on Mechatronics 27 (6), 5254-5263, 2022 | 217 | 2022 |
| A survey on fault diagnosis in wireless sensor networks Z Zhang, A Mehmood, L Shu, Z Huo, Y Zhang, M Mukherjee IEEE Access 6, 11349-11364, 2018 | 193 | 2018 |
| Incipient fault diagnosis of roller bearing using optimized wavelet transform based multi-speed vibration signatures Z Huo, Y Zhang, P Francq, L Shu, J Huang IEEE Access 5, 19442-19456, 2017 | 193 | 2017 |
| Entropy measures in machine fault diagnosis: Insights and applications Z Huo, M Martínez-García, Y Zhang, R Yan, L Shu IEEE Transactions on Instrumentation and Measurement 69 (6), 2607-2620, 2020 | 125 | 2020 |
| A survey of using swarm intelligence algorithms in IoT W Sun, M Tang, L Zhang, Z Huo, L Shu Sensors 20 (5), 1420, 2020 | 121 | 2020 |
| When mobile crowd sensing meets traditional industry L Shu, Y Chen, Z Huo, N Bergmann, L Wang Ieee Access 5, 15300-15307, 2017 | 73 | 2017 |
| A new bearing fault diagnosis method based on fine-to-coarse multiscale permutation entropy, laplacian score and SVM Z Huo, Y Zhang, L Shu, M Gallimore Ieee Access 7, 17050-17066, 2019 | 72 | 2019 |
| Internet of things for noise mapping in smart cities: state of the art and future directions Y Liu, X Ma, L Shu, Q Yang, Y Zhang, Z Huo, Z Zhou Ieee Network 34 (4), 112-118, 2020 | 67 | 2020 |
| A multisensor information fusion method for high-reliability fault diagnosis of rotating machinery Z Huo, M Martínez-García, Y Zhang, L Shu IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2021 | 44 | 2021 |
| Self-adaptive fault diagnosis of roller bearings using infrared thermal images Z Huo, Y Zhang, R Sath, L Shu IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society …, 2017 | 38 | 2017 |
| End-to-end chiller fault diagnosis using fused attention mechanism and dynamic cross-entropy under imbalanced datasets S Han, H Shao, Z Huo, X Yang, J Cheng Building and Environment 212, 108821, 2022 | 35 | 2022 |
| Adaptive multiscale weighted permutation entropy for rolling bearing fault diagnosis Z Huo, Y Zhang, G Jombo, L Shu IEEE Access 8, 87529-87540, 2020 | 31 | 2020 |
| Research and prospect of solar insecticidal lamps internet of things L Kailiang, S Lei, H Kai, S Yuanhao, Y Fan, Z Yu, H Zhiqiang, W Yanfei, ... Smart Agriculture 1 (3), 13, 2019 | 29 | 2019 |
| Cloud-based data-intensive framework towards fault diagnosis in large-scale petrochemical plants Z Huo, M Mukherjee, L Shu, Y Chen, Z Zhou 2016 International Wireless Communications and Mobile Computing Conference …, 2016 | 23 | 2016 |
| Current status and prospects of research on sensor fault diagnosis of agricultural internet of things X Zou, W Liu, Z Huo, S Wang, Z Chen, C Xin, Y Bai, Z Liang, Y Gong, ... Sensors 23 (5), 2528, 2023 | 19 | 2023 |
| BCE-FL: a secure and privacy-preserving federated learning system for device fault diagnosis under non-IID condition in IIoT Y Xiao, H Shao, J Lin, Z Huo, B Liu IEEE Internet of Things Journal, 2023 | 13 | 2023 |
| Silos: An intelligent fault detection scheme for solar insecticidal lamp iot with improved energy efficiency X Yang, L Shu, K Li, Z Huo, S Shu, E Nurellari IEEE Internet of Things Journal 10 (1), 920-939, 2022 | 13 | 2022 |
| A short survey on fault diagnosis of rotating machinery using entropy techniques Z Huo, Y Zhang, L Shu Industrial Networks and Intelligent Systems: 3rd International Conference …, 2018 | 13 | 2018 |
| SA1D-CNN: A separable and attention based lightweight sensor fault diagnosis method for solar insecticidal lamp Internet of Things X Yang, L Shu, K Li, Z Huo, Y Zhang IEEE Open Journal of the Industrial Electronics Society 3, 291-303, 2022 | 10 | 2022 |
| Multi-domain extreme learning machine for bearing failure detection based on variational modal decomposition and approximate cyclic correntropy X Wang, G Sui, J Xiang, G Wang, Z Huo, Z Huang Ieee Access 8, 197711-197729, 2020 | 10 | 2020 |
Lei Shu (舒磊)Professor, Nanjing Agricultural University, China and Lincoln Professor, University of Lincoln, UKVerified email at njau.edu.cn