five

"Experimental Video for Causal Feature Graph Learning for Domain Generalization in Axial Piston Pump Fault Diagnosis"

收藏
DataCite Commons2026-03-16 更新2026-05-03 收录
下载链接:
https://ieee-dataport.org/documents/experimental-video-causal-feature-graph-learning-domain-generalization-axial-piston-pump
下载链接
链接失效反馈
官方服务:
资源简介:
"HydraThis video demonstrates a systematic experimental study on deep learning-based fault diagnosis for hydraulic systems. The recording showcases the operation of a professional hydraulic test bench under various working conditions. Key components, including the power unit, valves, and sensors, are clearly presented. The video focuses on data collection processes for three typical types of faults: internal leakage in pumps, wear of cylinder blocks, and valve blockage. Real-time monitoring interfaces display the acquisition of vibration and pressure signals. This visual material serves as crucial supplementary evidence to validate the experimental framework, data quality, and the feasibility of the proposed fault diagnosis methodology."
提供机构:
IEEE DataPort
创建时间:
2026-03-16
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作