Incremental learning with multi-fidelity information fusion for digital twin-driven bearing fault diagnosis
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
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1. Shape-performance coupled digital twin based on heterogeneous data from multiple sources: a scissor lift platform example;Engineering with Computers;2024-07-29
2. Deep Learning-Based Multifidelity Surrogate Modeling for High-Dimensional Reliability Prediction;ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering;2024-07-24
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