Masked Self-Supervision for Remaining Useful Lifetime Prediction in Machine Tools

Author:

Guo Haoren1,Zhu Haiyue2,Wang Jiahui1,Vadakkepat Prahlad1,Ho Weng Khuen1,Lee Tong Heng1

Affiliation:

1. National University of Singapore,Electrical and Computer Engineering,Singapore,Singapore

2. Singapore Institute of Manufacturing Technology (SIMTech), A*STAR,Singapore,Singapore

Funder

National University of Singapore

Singapore Institute of Manufacturing Technology

Publisher

IEEE

Reference19 articles.

1. Incremental Few-Shot Learning via Implanting and Compressing;li;International Conference on Robotics and Automation,2022

2. A stacked deep convolutional neural network to predict the remaining useful life of a turbofan engine

3. Few-shot object detection via classification refinement and distractor retreatment;li;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),2020

4. Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit

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