团队公开发布机械振动测量与故障诊断动态视觉数据集XJTU-DV

希望数据集能够辅助感兴趣的专家进一步研究非接触式振动监测与故障诊断

数据集信息更新地址：https://gr.xjtu.edu.cn/web/lixiang/xjtu-dv

数据已上传Google Drive、百度网盘、腾讯微云 
敬请各位专家批评指正！

XJTU-DV Dataset

Google Drive: https://drive.google.com/drive/folders/11A-1M0dHhqil6nWvwEu5fmijD7d_-V7j?usp=sharing

Baidu Yun: https://pan.baidu.com/s/1RMd8qO77m4-wuFaTk0mjwQ?pwd=6vkd   Code: 6vkd
Tecent Weiyun: https://share.weiyun.com/n3FSqF7w

If XJTU-DV data are used in your research, it is requested to cite the references:

• Xiang Li, Shupeng Yu, Yaguo Lei, Naipeng Li, Bin Yang*, "Dynamic Vision-Based Machinery Fault Diagnosis With Cross-Modality Feature Alignment", IEEE/CAA Journal of Automatica Sinica, 2024, 11(10), 2068–2081.

If you have any questions regarding the dataset, please contact Xiang Li through Email lixiang@xjtu.edu.cn

Overview

Non-contact vibration measurement is of great importance for fault diagnosis and prognosis of mechanical systems in many industrial scenarios. Dynamic vision is an emerging vision technology for vibration sensing.

We introduce XJTU-DV, an open-source dynamic vision dataset for non-contact vibration measurement and fault diagnosis.

• The XJTU-DV-Rotor and XJTU-DV-Pump sub-datasets include the dynamic vision data from a rotor and a pump test bench, respectively. The dynamic vision data are collected under different fault and operating conditions.​​​​
• The XJTU-DV-Beam sub-dataset includes the dynamic vision data on a structural beam system, as well as the corresponding laser vibrometer data as ground truths.

We hope it could benefit researchers for further development of such new technologies!

For more detailed dataset information, please refer to:

• Xiang Li, Shupeng Yu, Xinrui Chen, Yaguo Lei, Bin Yang*, Naipeng Li, XJTU-DV: Open-Source Dynamic Vision Dataset for Non-Contact Vibration Measurement and Fault Diagnosis of Mechanical Systems, Chinese Journal of Mechanical Engineering, 2026