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phoenixdyf/README.md

Hi there, I'm Yafei Deng

  • 💻: As an AI Ops Engineer at Huawei's 2012 Lab, I dedicate myself to the cutting-edge research of AI-driven system optimization and the enablement of intelligent PHM for cloud services and industrial equipment.

    My focus revolves around exploring novel technologies in AI4System, AIOps, and System4AI, with applications spanning AI system enhancements, anomaly detection, fault diagnosis, and performance tuning in both cloud environments and industrial settings.

  • 🎓 Ph.D. graduate from Shanghai Jiao Tong University (2024.03)

  • 🌱 Currently learning everything related to AI for Prognostic and Health Management

❤️ Academic homepage

📫 Google scholar

📫 ResearchGate

📫 Scopus

📕 Publications

Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer

ESI高被引：结合理论边界和对抗网络实现机械故障的开集诊断Citation Count code Github stars

A Calibration-Based Hybrid Transfer Learning Framework for RUL Prediction of Rolling Bearing Across Different Machines

ESI高被引：基于仿真数据和真实数据融合实现跨机器RUL预测Citation Count

A double-layer attention based adversarial network for partial transfer learning in machinery fault diagnosis

ESI高被引：双层注意力结合对抗网络实现故障的部分集迁移Citation Count

Prognostic study of ball screws by ensemble data-driven particle filters

融合磨损机理模型和数据驱动算法实现滚珠丝杠的状况监控Citation Count

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  1. Theory-guided-Progressive-Transfer-Learning-Network Theory-guided-Progressive-Transfer-Learning-Network Public

    Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer

    Jupyter Notebook 34 3

  2. Transfer-Learning-for-CWRU-dataset Transfer-Learning-for-CWRU-dataset Public

    A experiement demonstration of different deep transfer learning methods for course VE593

    Jupyter Notebook 6 1

  3. Opensource_Dataset_Compilation_for_PHM Opensource_Dataset_Compilation_for_PHM Public

    分享的所有数据集均为开源的PHM（Prognostics and Health Management）数据，涵盖故障诊断、健康评估和寿命预测等领域。

    79 12

  4. Feature-Introduction-for-Mechanical-Vibration-Analysis Feature-Introduction-for-Mechanical-Vibration-Analysis Public

    分享常用的机械振动信号特征

    2 1