Y Zhang

ORCID: 0009-0004-0998-9385
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About
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Research Areas
  • Turbomachinery Performance and Optimization
  • Gear and Bearing Dynamics Analysis
  • Heat Transfer Mechanisms
  • Machine Fault Diagnosis Techniques
  • Fluid Dynamics and Turbulent Flows
  • Hydrology and Sediment Transport Processes
  • Industrial Vision Systems and Defect Detection
  • Marine and Coastal Research
  • Aerodynamics and Acoustics in Jet Flows
  • Ultrasonics and Acoustic Wave Propagation
  • Tree-ring climate responses
  • Tribology and Lubrication Engineering
  • Lubricants and Their Additives
  • Cavitation Phenomena in Pumps
  • Methane Hydrates and Related Phenomena
  • Plant Water Relations and Carbon Dynamics
  • Reliability and Maintenance Optimization

China Agricultural University
2025

Xi'an Jiaotong University
2006-2024

Ministry of Natural Resources
2018

Jilin University
2018

Predicting vegetation-induced flow resistance remains a significant challenge due to the diverse and dynamic nature of river vegetation. Although numerous empirical models are available, they often fail generalize across different environmental conditions, leading inaccurate predictions. This study introduces machine learning-based framework for predicting vegetation resistance, incorporating nine ML methods, including SVM, XGBoost, BP. To improve predictive performance, optimization...

10.1038/s41598-025-91668-8 article EN cc-by-nc-nd Scientific Reports 2025-03-04

Voiceprint sensing (VS) technique provides a novel and low-intervention tool for bearing condition monitoring. However, it remains challenging task to detect the unique acoustic patterns generated from incipient faults, especially under low signal-to-noise ratio conditions. Motivated by this limitation, physics-inspired sparse VS is innovatively proposed fault diagnosis. In article, inspired physical structure of signals emanating bearings, group spike-and-slab prior first designed sharp...

10.1109/tii.2024.3403248 article EN IEEE Transactions on Industrial Informatics 2024-05-29

The lubricant in the bearings of ships can be easily polluted by sea water. Too much water may deteriorate bearing performance and result catastrophic failure; therefore, should changed regularly to prevent this. It is important investigate effect adding mineral oil on tribological these bearings. In present study, different amounts 1, 2, 3 per cent (by mass) were mixed with a typical viscosity 46 mm 2 /s at 40 °C tested 12 identical journal under operation conditions rotational speed load....

10.1243/13506501jet521 article EN Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology 2009-02-20

To enhance the adjusting action and performance of inlet guide vane (IGV) a centrifugal fan, this study has proposed new definition for prerotation coefficient, suggested that coefficient resistance be used as main indexes assessing IGV performance. The flow fields upstream downstream have been measured with five-hole probe. Experimental measurements at outlet plate fan shown that: little impact on distribution IGV; is relatively uniform in circumferential direction but very non-uniform...

10.1243/09576509jpe639 article EN Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy 2009-03-24

Among all the elements of a centrifugal fan, volute is one that has lowest flow efficiency. Therefore, improving performance an efficient way to improve total fan. To contribute better understanding structure in fan volute, three-dimensional with large width and rectangular cross-section been measured detail by means five-hole probe at three different flowrates. The time-average swirling throughflow velocity, static pressure distributions on eight cross-sections direction are presented....

10.1243/095765006x76036 article EN Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy 2006-03-01
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