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Failure Mechanism-Driven Multi-Adversarial Domain Transfer Learning For by sun yanchao is a document available to read on EtoBox.
This research paper presents a novel Failure Mechanism-Driven Multi-Adversarial Domain Transfer Learning algorithm for rolling bearing fault diagnosis, addressing performance issues in cross-condition tasks. By integrating physical failure mechanisms with data-driven models, the method enhances diagnostic accuracy and reduces negative transfer, achieving average accuracies of 88.15% and 96.74% on different transfer tasks. The proposed approach demonstrates significant improvements over existing methods, pro
- Author
- sun yanchao
- Language
- EN