Multi-modal machine learning in engineering design: A review and future directions

B Song, R Zhou, F Ahmed - … of Computing and …, 2024 - asmedigitalcollection.asme.org
In the rapidly advancing field of multi-modal machine learning (MMML), the convergence of
multiple data modalities has the potential to reshape various applications. This paper …

[HTML][HTML] Shift of emphasis toward intelligent equipment maintenance in port operations: A critical review of emerging trends and challenges

Z Wang, Q Zeng, H Haralambides - Ocean & Coastal Management, 2024 - Elsevier
Due to the deepening levels of port automation and intelligence, the degree of equipment
automation and the complexity of maintenance operations have increased substantially …

Feature Extraction Based on Self-Supervised Learning for Remaining Useful Life Prediction

Z Yu, N Lei, Y Mo, X Xu, X Li… - … of Computing and …, 2024 - asmedigitalcollection.asme.org
The prediction of the remaining useful life (RUL) is of great significance to ensure the safe
operation of industrial equipment and to reduce the cost of regular preventive maintenance …

A digital twin framework for anomaly detection in industrial robot system based on multiple physics-informed hybrid convolutional autoencoder

S Wang, J Tao, Q Jiang, W Chen, C Qin… - Journal of Manufacturing …, 2024 - Elsevier
The robot number in industry is growing up rapidly. Building anomaly detection system for
them can improve the security of these expensive devices. The article implements an …

Prediction model optimization of gas turbine remaining useful life based on transfer learning and simultaneous distillation pruning algorithm

Y Zheng, L Chen, X Bao, F Zhao, J Zhong… - Reliability Engineering & …, 2025 - Elsevier
For the application of deep learning (DL) models in the field of remaining useful life (RUL)
prediction and predictive maintenance (PdM) of complex equipment, the insufficient training …

Predicting the Remaining Useful Life of Turbofan Engines Using Fractional Lévy Stable Motion with Long-Range Dependence

D Qi, Z Zhu, F Yao, W Song, A Kudreyko, P Cattani… - Fractal and …, 2024 - mdpi.com
Remaining useful life prediction guarantees a reliable and safe operation of turbofan
engines. Long-range dependence (LRD) and heavy-tailed characteristics of degradation …