Q Gao, T Huang, K Zhao, H Shao, B Jin - Expert Systems with Applications, 2024 - Elsevier
The mainstream approach to addressing the issues of insufficient historical data and high annotation costs in the domain of rotating machinery is to build transfer learning models …
Condition monitoring, fault diagnosis, and scheduled maintenance of wind turbines (WTs) are becoming a necessity to maximize their economic benefits and reduce their downtime …
Condition monitoring (CM) of industrial processes is essential for reducing downtime and increasing productivity through accurate Condition-Based Maintenance (CBM) scheduling …
L Wang, W Fan, G Jiang, P Xie - Energy, 2023 - Elsevier
Wind turbine (WT) condition monitoring has gained increasing interests in the era of the Internet of Energy (IoE), and existing monitoring approaches mainly focus on training a …
D Liu, L Cui, W Cheng - Renewable Energy, 2023 - Elsevier
Abstract—The fault diagnosis of wind turbines under nonstationary conditions is still challenging. This paper proposes a novel tacho-less generalized demodulation (NTLGD) …
Z Fan, Q Xu, C Jiang, SX Ding - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
Emerging intelligent fault diagnosis models based on domain adaptation can resolve domain shift problems produced by different working conditions. However, the prerequisite …
T Xie, Q Xu, C Jiang, S Lu, X Wang - Renewable Energy, 2023 - Elsevier
In fault diagnosis, deep learning plays an important role, but still lacks good interpretability. To address this issue, we develop a novel fault frequency priors fusion deep learning (FFP …
W Zhang, Y He, S Yang - Renewable Energy, 2023 - Elsevier
With the increasing utilization of offshore wind power, accurate prediction of offshore wind power is crucial for preventive control and scheduling. In this paper, a new hybrid probability …
M Qin, W Shi, W Chai, X Fu, L Li, X Li - Renewable energy, 2023 - Elsevier
Offshore wind is becoming the way forward for green energy harnessing worldwide. However, frequent typhoons are a major constraint for the development of offshore wind …