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Zhiqiang Huo
Zhiqiang Huo
Research Associate at King's College London, Depart. Population Health Sciences
Verified email at kcl.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
2392022
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
1982017
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
1962018
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
1432020
A survey of using swarm intelligence algorithms in IoT
W Sun, M Tang, L Zhang, Z Huo, L Shu
Sensors 20 (5), 1420, 2020
1302020
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
742020
When mobile crowd sensing meets traditional industry
L Shu, Y Chen, Z Huo, N Bergmann, L Wang
Ieee Access 5, 15300-15307, 2017
742017
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
732019
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
522021
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
432022
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
392017
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
372023
Adaptive multiscale weighted permutation entropy for rolling bearing fault diagnosis
Z Huo, Y Zhang, G Jombo, L Shu
IEEE Access 8, 87529-87540, 2020
332020
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
302019
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
242023
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
232016
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
142018
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
132022
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
122020
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
102022
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Articles 1–20