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stat.ML2024
A Two-Stage Federated Learning Approach for Industrial Prognostics Using Large-Scale High-Dimensional Signals
Yuqi Su, Xiaolei Fang
Industrial prognostics aims to develop data-driven methods that leverage high-dimensional degradation signals from assets to predict their failure times. The success of these model…
math.OC2024★ 1 cited
SLRQA: A Sparse Low-Rank Quaternion Model for Color Image Processing with Convergence Analysis
Zhanwang Deng, Yuqiu Su, Wen Huang
In this paper, we propose a Sparse Low-rank Quaternion Approximation (SLRQA) model for color image processing problems with noisy observations. %Different from the existing color i…
cs.LG2024
Deep Learning-Based Residual Useful Lifetime Prediction for Assets with Uncertain Failure Modes
Yuqi Su, Xiaolei Fang
Industrial prognostics focuses on utilizing degradation signals to forecast and continually update the residual useful life of complex engineering systems. However, existing progno…