This repository hosts all code used in the paper: Lan, L., van Doorn, J., Wouda, N. A., Rijal, A., & Bhulai, S. (2024). An iterative sample scenario approach for the ...
Abstract: Rolling bearing fault diagnosis plays a crucial role in ensuring the safety and reliability of rotary machine, and some methods that employ deep-learning technology are grounded on the ...
Abstract: Zero-sample fault diagnosis (ZSFD) achieves remarkable success and has attracted considerable attention. However, existing methods suffer from the limitations in fault attribute labeling and ...