A comprehensive review of digital twin—part 1: modeling and twinning enabling technologies

A Thelen, X Zhang, O Fink, Y Lu, S Ghosh… - Structural and …, 2022 - Springer
As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented
attention because of its promise to further optimize process design, quality control, health …

Challenges in predictive maintenance–A review

P Nunes, J Santos, E Rocha - CIRP Journal of Manufacturing Science and …, 2023 - Elsevier
Predictive maintenance (PdM) aims the reduction of costs to increase the competitive
strength of the enterprises. It uses sensor data together with analytics techniques to optimize …

Machinery health prognostics: A systematic review from data acquisition to RUL prediction

Y Lei, N Li, L Guo, N Li, T Yan, J Lin - Mechanical systems and signal …, 2018 - Elsevier
Machinery prognostics is one of the major tasks in condition based maintenance (CBM),
which aims to predict the remaining useful life (RUL) of machinery based on condition …

Estimation of bearing remaining useful life based on multiscale convolutional neural network

J Zhu, N Chen, W Peng - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
Bearing remaining useful life (RUL) prediction plays a crucial role in guaranteeing safe
operation of machinery and reducing maintenance loss. In this paper, we present a new …

A calibration-based hybrid transfer learning framework for RUL prediction of rolling bearing across different machines

Y Deng, S Du, D Wang, Y Shao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The effective remaining useful life (RUL) prediction of rolling bearings could guarantee
mechanical equipment reliability and stability. The hybrid physical and data-driven …

Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods

Z Zhang, X Si, C Hu, Y Lei - European Journal of Operational Research, 2018 - Elsevier
Degradation-based modeling methods have been recognized as an essential and effective
approach for lifetime and remaining useful life (RUL) estimations for various health …

Prognostics and health management: A review of vibration based bearing and gear health indicators

D Wang, KL Tsui, Q Miao - Ieee Access, 2017 - ieeexplore.ieee.org
Prognostics and health management is an emerging discipline to scientifically manage the
health condition of engineering systems and their critical components. It mainly consists of …

An improved exponential model for predicting remaining useful life of rolling element bearings

N Li, Y Lei, J Lin, SX Ding - IEEE Transactions on Industrial …, 2015 - ieeexplore.ieee.org
The remaining useful life (RUL) prediction of rolling element bearings has attracted
substantial attention recently due to its importance for the bearing health management. The …

A review of artificial intelligence methods for engineering prognostics and health management with implementation guidelines

KTP Nguyen, K Medjaher, DT Tran - Artificial Intelligence Review, 2023 - Springer
The past decade has witnessed the adoption of artificial intelligence (AI) in various
applications. It is of no exception in the area of prognostics and health management (PHM) …

Recent advances in prognostics and health management for advanced manufacturing paradigms

T Xia, Y Dong, L Xiao, S Du, E Pan, L Xi - Reliability Engineering & System …, 2018 - Elsevier
Manufacturing paradigms have played their important roles in modern industry. In recent 20
years, production systems of advanced manufacturing paradigms (eg mass customization …