"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
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https://ieee-dataport.org/documents/experimental-video-causal-feature-graph-learning-domain-generalization-axial-piston-pump
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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



