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2025	2025 International Conference on Computing Technologies & Data Communication (ICCTDC) Manikrao Dhore, Shriram Dindore, Suvidha Dhakane, Atharva Dhakate, Pranav Bhawari
2025	Advances in Computational Intelligence and Robotics Archana Kedar Chaudhari
2025	Smart Innovation, Systems and Technologies R. Subha, Radhakrishnan Rekha, M. Selvadass
2025	Enhanced bearing RUL prediction based on dynamic temporal attention and mixed MLP Autonomous Intelligent Systems Zhongtian Jin, Chong Chen, Aris Syntetos, Ying Liu
2025	2025 5th International Conference on Advanced Research in Computing (ICARC) Lahiru Ubesigha, Chathura Rajapaksha, Thilini Mahanama, Dinesh Asanka
2025	Innovative data techniques for centrifugal pump optimization with machine learning and AI model PLOS One Gaurav Sandeep Dave, Amar Pradeep Pandhare, Atul Prabhakar Kulkarni, Dhananjay Vasant Khankal
2025	A procedure for assessing of machine health index data prediction quality Measurement Daniel Kuzio, Radosław Zimroz, Agnieszka Wyłomańska
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	Remaining Life Prediction of Bearings Based on Improved IF-SCINet IEEE Access Jing Zhang, Chao Zhang, Shuai Xu, Guiyi Liu, Hongbo Fei, Le Wu
2024	Lecture Notes in Mechanical Engineering Zhongtian Jin, Chong Chen, Qingtao Liu, Aris Syntetos, Ying Liu
2024	Advancements in bearing remaining useful life prediction methods: a comprehensive review Measurement Science and Technology Liuyang Song, Tianjiao Lin, Ye Jin, Shengkai Zhao, Ye Li, Huaqing Wang
2024	Enhancing Industrial Anomaly Detection with Auto Encoder-Based Temporal Convolutional Networks for Motor Fault Classification SN Computer Science B. D. Varalakshmi, G. M. Lingaraju
2023	A Novel Method of Digital Twin-Based Manufacturing Process State Modeling and Incremental Anomaly Detection Machines Qinglei Zhang, Zhen Liu, Jianguo Duan, Jiyun Qin
2023	The combination model of CNN and GCN for machine fault diagnosis PLOS ONE Qianqian Zhang, Caiyun Hao, Zhongwei Lv, Qiuxia Fan
2023	A predictive maintenance model using Long Short-Term Memory Neural Networks and Bayesian inference Decision Analytics Journal Davide Pagano
2023	Prognostics and Health Management of Rotating Machinery of Industrial Robot with Deep Learning Applications—A Review Mathematics Prashant Kumar, Salman Khalid, Heung Kim
2023	A hybrid deep learning-based approach for rolling bearing fault prognostics IFAC-PapersOnLine Domício Neto, Lorena Petrella, Jorge Henriques, Paulo Gil, Alberto Cardoso
2023	Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research Engineering Applications of Artificial Intelligence Shreyas Gawde, Shruti Patil, Satish Kumar, Pooja Kamat, Ketan Kotecha, Ajith Abraham
2023	A novel exponential degradation approach for predicting the remaining useful life of roadheader bearings Measurement Science and Technology Qiang Liu, Songyong Liu, Qianjin Dai, Yuming Cui, Qizhi Xie
2023	Multi-source domain generalization for degradation monitoring of journal bearings under unseen conditions Reliability Engineering & System Safety Ning Ding, Hulin Li, Qi Xin, Bo Wu, Dan Jiang
2022	Systematic Literature Review on Visual Analytics of Predictive Maintenance in the Manufacturing Industry Sensors Xiang Cheng, Jun Kit Chaw, Kam Meng Goh, Tin Tin Ting, Shafrida Sahrani, Mohammad Nazir Ahmad, Rabiah Abdul Kadir, Mei Choo Ang
2022	An Augmented Reality-Assisted Prognostics and Health Management System Based on Deep Learning for IoT-Enabled Manufacturing Sensors Liping Wang, Dunbing Tang, Changchun Liu, Qingwei Nie, Zhen Wang, Linqi Zhang
2022	Operation-mode recognition of surface microdischarge based on visible image and deep learning Journal of Physics D: Applied Physics Chen Lu, Tao Peng, Zilan Xiong
2022	Temporal Variational Auto-Encoders for Semi-Supervised Remaining Useful Life and Fault Diagnosis IEEE Access Gabriel San Martin, Enrique Lopez Droguett
2022	TL–LEDarcNet: Transfer Learning Method for Low-Energy Series DC Arc-Fault Detection in Photovoltaic Systems IEEE Access Yoondong Sung, Gihwan Yoon, Ji-Hoon Bae, Suyong Chae
2022	Explainable AI for Bearing Fault Prognosis Using Deep Learning Techniques Micromachines Deva Chaitanya Sanakkayala, Vijayakumar Varadarajan, Namya Kumar, Karan, Girija Soni, Pooja Kamat, Satish Kumar, Shruti Patil, Ketan Kotecha
2022	Multi-Sensor GA-BP Algorithm Based Gearbox Fault Diagnosis Applied Sciences Yuan Fu, Yu Liu, Yan Yang
2022	Data mining in predictive maintenance systems: A taxonomy and systematic review WIREs Data Mining and Knowledge Discovery Aurora Esteban, Amelia Zafra, Sebastián Ventura
2022	Time Series Recovery Using Adjacent Channel Data Based on LSTM: A Case Study of Subway Vibrations Applied Sciences Tao Xin, Yi Yang, Xiaoli Zheng, Jing Lin, Sen Wang, Pengsong Wang
2021	Rolling Bearing Fault Diagnosis Based on Deep Learning and Autoencoder Information Fusion Symmetry Jianpeng Ma, Chengwei Li, Guangzhu Zhang
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