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2025	WaveAtten: A Symmetry-Aware Sparse-Attention Framework for Non-Stationary Vibration Signal Processing Symmetry Xingyu Chen, Monan Wang
2025	AIAA SCITECH 2025 Forum Anees Peringal, Mohammed B. Mohiuddin, Abdel Gafoor Haddad, Praveen Kumar Muthusamy
2025	Hierarchical Federated Learning with Hybrid Neural Architectures for Predictive Pollutant Analysis in Advanced Green Analytical Chemistry Processes Yingfeng Kuang, Xiaolong Chen, Chun Zhu
2025	An explainable approach for prediction of remaining useful life in turbofan condition monitoring Neural Computing and Applications Zahra Mansourvar, Mustafa Jahangoshai Rezaee, Milad Eshkevari
2025	Lecture Notes in Mechanical Engineering Dhruvi Shrimali, Swapnil Vegad, Keval Bhavsar, Umang Parmar
2025	Research status and prospect of digital twin technology for civil aero-engines SCIENTIA SINICA Physica, Mechanica & Astronomica Gang SUN, JunYi ZHAO, YuFeng HUANG
2025	Remaining useful life prediction of turbofan engines based on dual attention mechanism guided parallel CNN-LSTM Measurement Science and Technology Baokun Han, Peiwen Yin, Zongzhen Zhang, Jinrui Wang, Huaiqian Bao, Lijin Song, Xinwei Liu, Hao Ma, Dawei Wang
2024	A Novel Remaining Useful Life Prediction Approach Combined eXtreme Gradient Boosting and Multi-Quantile Recurrent Neural Network IEEE Access Yantao Yin, Jianyin Zhao, Xiao Zhang, Ying Liu
2024	A Remaining Useful Life Prediction Method of Mechanical Equipment Based on Particle Swarm Optimization-Convolutional Neural Network-Bidirectional Long Short-Term Memory Machines Yong Liu, Jiaqi Liu, Han Wang, Mingshun Yang, Xinqin Gao, Shujuan Li
2024	FPCA-SETCN: A Novel Deep Learning Framework for Remaining Useful Life Prediction IEEE Sensors Journal Junde Chen, Yuxin Wen, Xuxue Sun, Adnan Zeb, Mohammad Saleh Meiabadi, Sasan Sattarpanah Karganroudi
2024	An Interpretable Neuro-Dynamic Scheme With Feature-Temporal Attention for Remaining Useful Life Estimation IEEE Transactions on Industrial Informatics Linxiao Qin, Shuo Zhang, Tao Sun, Xudong Zhao
2024	Aircraft Engine Remaining Useful Life Prediction using neural networks and real-life engine operational data Advances in Engineering Software Slawomir Szrama, Tomasz Lodygowski
2024	Turbofan engine health status prediction with neural network pattern recognition and automated feature engineering Aircraft Engineering and Aerospace Technology Sławomir Szrama
2024	Towards precision aviation emission modeling: A hybrid paradigm of convolutional neural networks and semi-empirical formulas for full flight phase gas pollutant indices Science of The Total Environment Longfei Chen, Mengyun Gao, Meiyin Zhu, Shenghui Zhong, Yue Teng, Yinger Zheng, Yuanyuan Liu, Najeeb Ullah
2024	Empowering NGOs with Remote Sensing and CNN-LSTM Models for Social and Environmental Transformation Remote Sensing in Earth Systems Sciences Jayakarthik Ramachandran, Ashwani Kumar Gupta, Maganti Syamala, Sudipta Banerjee, D. Baburao, Amol Ranadive, Shanmugavel Deivasigamani
2024	Advances and limitations in machine learning approaches applied to remaining useful life predictions: a critical review The International Journal of Advanced Manufacturing Technology Xianpeng Qiao, Veronica Lestari Jauw, Lim Chin Seong, Tiyamike Banda
2024	Systematic review of predictive maintenance and digital twin technologies challenges, opportunities, and best practices PeerJ Computer Science Nur Haninie Abd Wahab, Khairunnisa Hasikin, Khin Wee Lai, Kaijian Xia, Lulu Bei, Kai Huang, Xiang Wu
2024	Channel attention & temporal attention based temporal convolutional network: A dual attention framework for remaining useful life prediction of the aircraft engines Advanced Engineering Informatics Lin Lin, Jinlei Wu, Song Fu, Sihao Zhang, Changsheng Tong, Lizheng Zu
2023	A Novel RUL Prognosis Model Based on Counterpropagating Learning Approach Aerospace Mohammed Baz
2023	Aero-engine prognosis strategy based on multi-scale feature fusion and multi-task parallel learning Reliability Engineering & System Safety Liang Zhou, Huawei Wang, Shanshan Xu
2023	Proceedings of the 2023 3rd International Conference on Artificial Intelligence, Automation and Algorithms Xiaosheng Li, Hui Cao, Zhenhao Ma
2023	2023 IEEE 5th International Conference on Power, Intelligent Computing and Systems (ICPICS) Tianliang Xu, Zhiquan Zhou, Shanqiang Yang, Chenxu Wang, Ying Liu
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