研究论文
Multi-hop graph pooling adversarial network for cross-domain remaining useful life prediction: A distributed federated learning perspective
Jiusi Zhang, Jilun Tian, Pengfei Yan, Shimeng Wu, Hao Luo, Shen Yin
Harbin Institute of Technology Norwegian University of Science and Technology
来源Reliability Engineering & System Safety
年份2024
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计算机 / AIDomain Adaptation and Few-Shot Learning
Air Quality Monitoring and Forecasting · Machine Learning and ELM
参考文献 69
A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
被引 1,835Biao Wang, Yaguo Lei, Naipeng Li · IEEE Transactions on Reliability · 2018
A new data-driven transferable remaining useful life prediction approach for bearing under different working conditions
被引 314Jun Zhu, Nan Chen, Changqing Shen · Mechanical Systems and Signal Processing · 2020
此处列出前 3 条
引用本文 139
DCAGGCN: A novel method for remaining useful life prediction of bearings
被引 100Deqiang He, Jiayang Zhao, Zhenzhen Jin · Reliability Engineering & System Safety · 2025
Federated learning for network attack detection using attention-based graph neural networks
被引 83Wu Jianping, Qiu Guangqiu, Chunming Wu · Scientific Reports · 2024
Process monitoring for tower pumping units under variable operational conditions: From an integrated multitasking perspective
被引 72Jiusi Zhang, Kun Qian, Hao Luo · Control Engineering Practice · 2025
按被引量排序，此处列出前 3 条