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2025	Similarity based city data transfer framework in urban digitization Scientific Reports Haoxiang Wang, Xiaoping Che, Enyao Chang, Chenxin Qu, Ganghua Zhang, Zihan Zhou, Zhenlin Wei, Gengyu Lyu, Pengfei Li
2025	Full life cycle remaining useful life prediction of offshore wind turbine bearings based on digital twin and improved DeepESN Journal of Cleaner Production Yuanhao Du, Xiuli Geng, Qingchao Zhou, Sheng Cheng, Hongliu Zhang, Bowu Zhang
2025	Two-stage remaining useful life prediction method across operating conditions based on small samples and novel health indicators Reliability Engineering & System Safety Yiming Li, Congjie Fu, Tongshan Liu, Zhihao Hu, Guiqiu Song
2025	Intermittent work system operation and storage life prediction Computers & Industrial Engineering Bincheng Wen, Xin Zhao, Xilang Tang, Haizhen Zhu, Changjun Li, Mingqing Xiao
2025	A novel transfer learning approach based on deep degradation feature adaptive alignment for remaining useful life prediction with multi-condition data Journal of Intelligent Manufacturing Yi Lyu, Zhenfei Wen, Aiguo Chen
2025	Remaining useful life prediction for a cracked rotor system via moving feature fusion based deep learning approach Measurement Imdad Ullah Khan, Chunrong Hua, Longbin Li, Longyi Zhang, Funing Yang, Weiqun Liu
2024	An unsupervised subdomain adversarial network for remaining useful life estimation under various conditions Quality and Reliability Engineering International Zhenfei Wen, Yi Lyu, Aiguo Chen
2023	Mixed Effects Random Forest Model for Maintenance Cost Estimation in Heavy-Duty Vehicles Using Diesel and Alternative Fuels IEEE Access Sasanka Katreddi, Arvind Thiruvengadam, Gregory J. Thompson, Natalia A. Schmid
2023	Machinery Prognostics and High-Dimensional Data Feature Extraction Based on a Transformer Self-Attention Transfer Network Sensors Shilong Sun, Tengyi Peng, Haodong Huang
2023	Adoptable approaches to predictive maintenance in mining industry: An overview Resources Policy Oluwatobi Dayo-Olupona, Bekir Genc, Turgay Celik, Samson Bada
2023	Adversarial Deep Transfer Learning in Fault Diagnosis: Progress, Challenges, and Future Prospects Sensors Yu Guo, Jundong Zhang, Bin Sun, Yongkang Wang
2022	Remaining useful life estimation of bearings under different working conditions via Wasserstein distance-based weighted domain adaptation Reliability Engineering & System Safety Tao Hu, Yiming Guo, Liudong Gu, Yifan Zhou, Zhisheng Zhang, Zhiting Zhou
2022	Data-Efficient Estimation of Remaining Useful Life for Machinery With a Limited Number of Run-to-Failure Training Sequences IEEE Access German Sternharz, Ayman Elhalwagy, Tatiana Kalganova
2022	Deep Unsupervised Domain Adaptation with Time Series Sensor Data: A Survey Sensors Yongjie Shi, Xianghua Ying, Jinfa Yang
2021	Remaining useful life prediction with insufficient degradation data based on deep learning approach Eksploatacja i Niezawodność – Maintenance and Reliability Yi Lyu, Yijie Jiang, Qichen Zhang, Ci Chen
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