Rolling Bearing Remaining Useful Life Prognosis Method based on Improved CHSMM by Zhu Shuo, Bai Ruilin, Ji Feng

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A generalized diffusion model for remaining useful life prediction with uncertainty by Bincheng Wen, Xin Zhao, Xilang Tang, Mingqing Xiao, Haizhen Zhu, Jianfeng Li

Subjects: “…Remaining useful life…”
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A Practical Prognostics Method Based on Stepwise Linear Approximation of a Nonlinear Degradation Model by Dawn An

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Enhanced bearing RUL prediction based on dynamic temporal attention and mixed MLP by Zhongtian Jin, Chong Chen, Aris Syntetos, Ying Liu

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Remaining useful life prediction of lithium-ion batteries using a novel particle flow filter framework with grey model by Wang Shuai, Li Yiting, Zhou Shoubin, Chen Lifei, Michael Pecht

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Enhancing electric vehicle battery lifespan: integrating active balancing and machine learning for precise RUL estimation by Yara A. Sultan, Abdelfattah A. Eladl, Mohamed A. Hassan, Samah A. Gamel

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Probabilistic prediction of aero engine remaining useful life based on Bayesian graph attention transformer by Yanyan HU, Yating BAI

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A Deep-Learning Method for Remaining Useful Life Prediction of Power Machinery via Dual-Attention Mechanism by Fan Wang, Aihua Liu, Chunyang Qu, Ruolan Xiong, Lu Chen

Subjects: “…remaining useful life prediction…”
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A co-estimation framework of state of health and remaining useful life for lithium-ion batteries using the semi-supervised learning algorithm by Xiaoyu Li, Mohan Lyv, Xiao Gao, Kuo Li, Yanli Zhu

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Research of Remaining Useful Life Prediction of Gear based on Exponential Smoothing and Improved Incremental SVR by Liu Zhenxiang, Chen Xiaohui

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REMAINING USEFUL LIFE OF ROLLING BEARING BASED ON t⁃SNE by ZHONG JianHua, HUANG Cong, ZHONG ShunCong, XIAO ShunGen

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Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments by Ali Saeed, Muazzam A. Khan, Usman Akram, Waeal J. Obidallah, Soyiba Jawed, Awais Ahmad

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Advanced Machine Learning and Deep Learning Approaches for Estimating the Remaining Life of EV Batteries—A Review by Daniel H. de la Iglesia, Carlos Chinchilla Corbacho, Jorge Zakour Dib, Vidal Alonso-Secades, Alfonso J. López Rivero

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BEARING REMAINING LIFE PREDICTION BASED ON DEEP SEPARABLE CONVOLUTIONAL NEURAL NETWORK by XU HaiMing, XIA QiaoYang, LI Yong, ZHANG LanZhu

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Battery Health Monitoring and Remaining Useful Life Prediction Techniques: A Review of Technologies by Mohamed Ahwiadi, Wilson Wang

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Remaining Useful Life Prediction of Turbofan Engine in Varied Operational Conditions Considering Change Point: A Novel Deep Learning Approach with Optimum Features by Subrata Rath, Deepjyoti Saha, Subhashis Chatterjee, Ashis Kumar Chakraborty

Subjects: “…remaining useful life (RUL)…”
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Integrated Method of Future Capacity and RUL Prediction for Lithium‐Ion Batteries Based on CEEMD‐Transformer‐LSTM Model by Wangyang Hu, Chaolong Zhang, Laijin Luo, Shanhe Jiang

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