| Novel particle swarm optimization-based variational mode decomposition method for the fault diagnosis of complex rotating machinery XB Wang, ZX Yang, XA Yan IEEE/ASME Transactions on Mechatronics 23 (1), 68-79, 2017 | 268 | 2017 |
| A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives KKH Ng, CH Chen, CKM Lee, JR Jiao, ZX Yang Advanced Engineering Informatics 47, 101246, 2021 | 197 | 2021 |
| Intelligent fault diagnosis of rotating machinery via wavelet transform, generative adversarial nets and convolutional neural network P Liang, C Deng, J Wu, Z Yang Measurement 159, 107768, 2020 | 182 | 2020 |
| Real-time fault diagnosis for gas turbine generator systems using extreme learning machine PK Wong, Z Yang, CM Vong, J Zhong Neurocomputing 128, 249-257, 2014 | 176 | 2014 |
| Compound fault diagnosis of gearboxes via multi-label convolutional neural network and wavelet transform P Liang, C Deng, J Wu, Z Yang, J Zhu, Z Zhang Computers in Industry 113, 103132, 2019 | 169 | 2019 |
| Sparse Bayesian extreme learning committee machine for engine simultaneous fault diagnosis PK Wong, J Zhong, Z Yang, CM Vong Neurocomputing 174, 331-343, 2016 | 96 | 2016 |
| Intelligent fault diagnosis via semisupervised generative adversarial nets and wavelet transform P Liang, C Deng, J Wu, G Li, Z Yang, Y Wang IEEE Transactions on Instrumentation and Measurement 69 (7), 4659-4671, 2019 | 93 | 2019 |
| Fault diagnosis of rotating machinery based on multiple probabilistic classifiers JH Zhong, PK Wong, ZX Yang Mechanical Systems and Signal Processing 108, 99-114, 2018 | 91 | 2018 |
| A new learning paradigm for random vector functional-link network: RVFL+ PB Zhang, ZX Yang Neural Networks 122, 94-105, 2020 | 90 | 2020 |
| Representational learning for fault diagnosis of wind turbine equipment: A multi-layered extreme learning machines approach ZX Yang, XB Wang, JH Zhong Energies 9 (6), 379, 2016 | 89 | 2016 |
| RFID-enabled indoor positioning method for a real-time manufacturing execution system using OS-ELM Z Yang, P Zhang, L Chen Neurocomputing 174, 121-133, 2016 | 87 | 2016 |
| Multilayer one-class extreme learning machine H Dai, J Cao, T Wang, M Deng, Z Yang Neural Networks 115 (119), 11-22, 2019 | 83 | 2019 |
| A novel AdaBoost framework with robust threshold and structural optimization PB Zhang, ZX Yang IEEE transactions on cybernetics 48 (1), 64-76, 2016 | 83 | 2016 |
| Fast detection of impact location using kernel extreme learning machine H Fu, CM Vong, PK Wong, Z Yang Neural Computing and Applications 27, 121-130, 2016 | 76 | 2016 |
| Single and simultaneous fault diagnosis with application to a multistage gearbox: A versatile dual-ELM network approach ZX Yang, XB Wang, PK Wong IEEE Transactions on Industrial Informatics 14 (12), 5245-5255, 2018 | 72 | 2018 |
| Single and simultaneous fault diagnosis of gearbox via a semi-supervised and high-accuracy adversarial learning framework P Liang, C Deng, J Wu, Z Yang, J Zhu, Z Zhang Knowledge-Based Systems 198, 105895, 2020 | 71 | 2020 |
| An EMG-driven musculoskeletal model for estimating continuous wrist motion Y Zhao, Z Zhang, Z Li, Z Yang, AA Dehghani-Sanij, S Xie IEEE Transactions on Neural Systems and Rehabilitation Engineering 28 (12 …, 2020 | 57 | 2020 |
| Machine condition monitoring and fault diagnosis based on support vector machine J Zhong, Z Yang, SF Wong 2010 IEEE International Conference on Industrial Engineering and Engineering …, 2010 | 53 | 2010 |
| Multi-view CNN feature aggregation with ELM auto-encoder for 3D shape recognition ZX Yang, L Tang, K Zhang, PK Wong Cognitive Computation 10 (6), 908-921, 2018 | 50 | 2018 |
| A hybrid EEMD-based SampEn and SVD for acoustic signal processing and fault diagnosis ZX Yang, JH Zhong Entropy 18 (4), 112, 2016 | 50 | 2016 |
Pak Kin WongUniversity of Macau在 umac.mo 的电子邮件经过验证
