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Yingzhong Tian on Muck Rack

Yingzhong Tian

As seen in: Nature, MDPI, Taylor & Francis Online
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Articles

Vacuum fluidic circuits with logic control and on-site oscillation tunability for electronics-free soft robots

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By tao jin, Zhenzhou Wang, Sicheng Yi, Yangqiao Lin, Long Li, Yingzhong Tian, Peng Qi, Raye Chen-Hua Yeow
| Nature Verified
Abstract Fluidic circuits advance the soft pneumatic robot beyond the dependence on bulky and rigid control components. However, many existing fluidic logic architectures, which were primarily developed for positive pressure operation, exhibit limited adaptability to vacuum actuation, particularly in achieving on-site period tunability in fluidic oscillators.
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Multi-Channel Fusion Decision-Making Online Detection Network for Surface Defects in Automotive Pipelines Based on Transfer Learning VGG16 Network

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By Jian Song, Yingzhong Tian, Xiang Wan
| MDPI
1. Introduction 1.1. The Significance and Development of Automotive Pipeline Surface Defect Detection With the continuous development of science, technology, computational ability, and Industry 4.0 strategies, a large number of traditional manufacturing industries are facing needs for large-scale production automation and intelligent transformation.
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Enhanced multi-layer Ramanujan decomposition: an effective rolling bearing condition monitoring method

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By Jian Song, Yingzhong Tian
| Taylor & Francis Online
Advanced search Nondestructive Testing and Evaluation Latest Articles Submit an article Journal homepage Full Article Figures & data References Citations Metrics Reprints & Permissions Read this article /doi/full/10.1080/10589759.2024.2416003?needAccess=true ABSTRACT Due to the influence of strong noise, it is difficult to extract and identify the fault features of rolling bearing when it is slightly damaged, which greatly increases the risk of fault miss detection.
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