Multimodal recognition and prognostics based on features extracted via multisensor degradation modeling
Author:
Affiliation:
1. Department of Industrial Engineering and Management, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
Funder
National Science Foundation of China
National Science Foundation of Shanghai
Shanghai Sailing Program
Shanghai Chenguang
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/00224065.2024.2315085
Reference28 articles.
1. Image-Based Prognostics Using Deep Learning Approach
2. A data-level fusion approach for degradation modeling and prognostic analysis under multiple failure modes
3. Christ M. A. W. Kempa-Liehr and M. Feindt. 2017. Distributed and parallel time series feature extraction for industrial big data applications. arXiv:1610.07717 [cs].
4. Self-supervised pretraining via contrast learning for intelligent incipient fault detection of bearings
5. Multistream sensor fusion-based prognostics model for systems with single failure modes
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