XJTU-DV: Open-Source Dynamic Vision Dataset for Non-Contact Vibration Measurement and Fault Diagnosis of Mechanical Systems

XJTU-DV, an open-source dynamic vision dataset for non-contact vibration measurement and fault diagnosis of mechanical systems. 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. 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. XJTU-DV provides a data foundation for dynamic vision-based studies on vibration measurement and fault diagnosis, which may promote further development of the emerging vision algorithms for industrial applications. The dataset can be accessed with the link https://gr.xjtu.edu.cn/web/lixiang/xjtu-dv 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 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 [e-mail]