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2020 – today
- 2024
[j6]Lixiao Cao
, Jie Zhang, Zheng Qian, Zong Meng, Jimeng Li:
Condition monitoring of wind turbine based on a novel spatio-temporal feature aggregation network integrated with adaptive threshold interval. Adv. Eng. Informatics 62: 102676 (2024)- [j5]Jimeng Li, Wei Wang, Sai Zhong, Zong Meng, Lixiao Cao:
HeMTAN: Hybrid task-adapted experts-based multi-task attention network for unseen compound fault decoupling diagnosis of rotating machinery. Expert Syst. Appl. 252: 124189 (2024) - 2023
- [j4]Zong Meng, Jing Liu, Jingbo Liu, Jimeng Li, Lixiao Cao, Fengjie Fan, Shancheng Yu:
An improved variational mode decomposition method based on spectrum reconstruction and segmentation and its application in rolling bearing fault diagnosis. Digit. Signal Process. 141: 104161 (2023) - [j3]Zong Meng, Huihui He, Wei Cao, Jimeng Li, Lixiao Cao, Jingjing Fan, Meng Zhu, Fengjie Fan:
A novel generation network using feature fusion and guided adversarial learning for fault diagnosis of rotating machinery. Expert Syst. Appl. 234: 121058 (2023) - [j2]Lixiao Cao, Hongyu Zhang, Zong Meng, Xueping Wang:
A parallel GRU with dual-stage attention mechanism model integrating uncertainty quantification for probabilistic RUL prediction of wind turbine bearings. Reliab. Eng. Syst. Saf. 235: 109197 (2023)
2010 – 2019
- 2019
- [j1]Lixiao Cao, Zheng Qian, Hamidreza Zareipour, Zhenkai Huang, Fanghong Zhang:
Fault Diagnosis of Wind Turbine Gearbox Based on Deep Bi-Directional Long Short-Term Memory Under Time-Varying Non-Stationary Operating Conditions. IEEE Access 7: 155219-155228 (2019) - [c1]Lixiao Cao, Jingyi Zhang, Jing-Yue Wang, Zheng Qian:
Intelligent fault diagnosis of wind turbine gearbox based on Long short-term memory networks. ISIE 2019: 890-895
Coauthor Index
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