Yongsheng Zhu

Interference-Enhanced Absorption in Miniaturized Graphene Plasmonic Terahertz Detectors via Substrate-Defined Fabry−Pérot Cavities

R Li, Shaojing Liu, Ximiao Wang, Hongjia Zhu et autres

Two-dimensional (2D) material terahertz (THz) detectors offer a promising platform for compact, room-temperature detection, yet their performance is fundamentally constrained by weak absorption in atomically thin layers. Here, we demonstrate a graphene plasmon polariton atomic cavity (PPAC) THz detector in which intrinsic …

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A time-dependent reliability model for spatial intermittent motion mechanisms via constant-amplitude alternating fatigue load equivalent method

Penghui Cheng, Tianhe Zhang, Yongsheng Zhu

Spatial intermittent motion mechanisms encompass non-continuously operating mechanisms in spacecraft, such as rotary tables, Solar Array Drive Assemblies (SADA), and spaceborne camera focusing mechanisms. Among these, failure assessment proves most complex for long-duration intermittent motion mechanisms due to their nonlinear polymorphic degradation …

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An Interpretable Rolling-Bearing Lubrication-State Diagnosis Method Based on Multiscale Residual and Semantic Consistency CycleGAN

Xinzhuo Zhang, Zhijun Ren, Kai Huang, Tantao Lin et autres

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Mechanism study on the influence of load and contaminant on the surface damage of GCr15 bearing raceway

Fei Chen, X. Zhang, Jindao Guo, Yan Ke et autres

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A MoE-LLM-based multisensor flexible fusion fault diagnosis method for rotating machinery

Tantao Lin, Zhijun Ren, Kai Huang, Hamid Reza Karimi et autres

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Deep Learning Empowered Sub-Diffraction Terahertz Backpropagation Single-Pixel Imaging

Yongsheng Zhu, Shaojing Liu, Ximiao Wang, Runli Li et autres

Terahertz single-pixel imaging (THz SPI) has garnered widespread attention for its potential to overcome challenges associated with THz focal plane arrays. However, the inherently long wavelength of THz waves limits imaging resolution, while achieving subwavelength resolution requires harsh experimental conditions and time-consuming …

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A novel multi-sensor information fusion method for fault diagnosis of rotating machinery with missing signals

Tantao Lin, Zhijun Ren, Kai Huang, Yongsheng Zhu et autres

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A dual-perspective joint domain generalization network for bearing fault diagnosis under unseen working conditions

Kai Huang, Zhijun Ren, Tantao Lin, Yongsheng Zhu et autres

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Double Effect of Super-Hot Molten Droplets on the Formation of Oxide-Free Metal Droplets and Intersplat Bonding during APS Using Deoxidizer-Containing Powders

Changjiu Li, Yongsheng Zhu, Xiao‐Tao Luo, Xinyuan Dong et autres

Abstract In this study, an internal powder injection was employed with a modified anode nozzle. The effects of the anode geometry and spray particle size on spray particle temperature were investigated. Moreover, the effect of spray particle temperature on the in-situ in-flight …

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Focusing on the mechanism of glycinin-soybean lipophilic protein hybrid gels: Effect of ultrasonic, subunit interactions, and formation process analysis

Yuyang Huang, Jiyuan Liu, Yongping Li, Yongsheng Zhu et autres

Heat facilitates aggregation and gel formation of soybean proteins. Ultrasonic reduces the size of protein aggregates. This study examined the impact of glycinin (11S) subunits on soybean lipophilic proteins (SLPs) gel formation and underlying mechanisms. Effects of protein dispersion pretreatment with 400 …

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A Systematic Review of Multisensor Information Fusion for Equipment Fault Diagnosis

Tantao Lin, Zhijun Ren, Linbo Zhu, Yongsheng Zhu et autres

In contrast to fault diagnosis relying solely on a single sensor, the method of multi-sensor information fusion for fault diagnosis (MSIFFD) broadens the spectrum of available information sources. It is renowned for its high accuracy and reliability, traits that have attracted growing …

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Contribution Imbalance and the Improvement Method in Multisensor Information Fusion-Based Intelligent Fault Diagnosis of Rotating Machinery

Tantao Lin, Zhijun Ren, Kai Huang, Xinzhuo Zhang et autres

The contribution of different signals to rotating machinery fault diagnosis can vary significantly, leading to suboptimal performance in multisensor information fusion-based intelligent fault diagnosis (MIF-IFD). This article examines the issue of imbalanced contributions in MIF-IFD models, explores its causes, and proposes an …

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