I am a Ph.D. student in the School Of Mechanical and Electrical Engineering at Soochow University. My research interests include Adversarial Learning, Few-shot learning, Fault diagnosis and prognostic and health management (PHM).
My full academic homepage can be found at: https://qtchen.github.io ๐
The details of my research can be found in my Publications ๐.
- ๐๏ธ Building large-scale, general-purpose models for industrial equipment health monitoring and predictive maintenance.
- ๐ I am participating in an open-source project group called PHMBench and contribute to various PHM research initiatives.
๐ฅ Notable work: HSE: A Plug-and-Play Module for Unified Fault Diagnosis Foundation Models
- ๐ Combine few-shot learning and contrastive learning to achieve cross-machine fault diagnosis.
โจ Notable publications:
- ๐ Metric Learning-Based Few-Shot Adversarial Domain Adaptation: A Cross-Machine Diagnosis Method for Ball Screws of Industrial Robots (TIM, 2024)
- ๐งฉ Few-shot Metric Adversarial Adaptation for Cross-machine Fault Diagnosis (63rd IEEE Conference on Decision and Control, 2024)
- ๐ ...
๐ Developing methods to transfer knowledge between different domains and equipment types for efficient fault diagnosis.
๐ Notable publications:
- ๐ Fault diagnosis for ball screws in industrial robots under variable and inaccessible working conditions with non-vibration signals (AEI, 2024)
- ๐ ๏ธ A lightweight and robust model for engineering cross-domain fault diagnosis via feature fusion-based unsupervised adversarial learning (Mesurement, 2022)
- ๐งช ...
