Explanipedia

Research on a magnetic rolling pendulum-based multi-stable electromagnetic generator with dual-path transition mechanism Open

Zhihui Lai, Jiaoyu Lei, Shitong Fang, Shiyi Xiao, Bin Xu , et al. · 2025

Photoacoustic and fluorescence hybrid microscope for cortex-wide imaging of neurovascular dynamics with subcellular resolution Open

Liangjian Liu, Zhiqiang Xu, Zhihui Lai, Bin Xu, Tao Wu , et al. · 2025

Simultaneously monitoring cortex-wide microvascular dynamics, blood oxygenation metabolism, and neuronal activities with high spatiotemporal resolution is essential for understanding neurovascular coupling (NVC). However, it remains a chal…

Bistable Multi‐Layer Triboelectric Nanogenerator for Harvesting Random and Ultra‐Low‐Frequency Vibration Energy with Increased Charge Transfer Open

Yi Guan, Xin Li, Zhenglun Alan Wei, Mengyuan Xiao, Zhihui Lai , et al. · 2025

Approximately 70% of the Earth’s surface is covered by seawater, making the ocean ideal for harvesting energy. Triboelectric nanogenerators (TENGs), due to their low cost and simple structure, are well‐suited for capturing ocean energy. Ho…

Sound-Aided Vibration Excited Vibration Resonance for Weak Fault Detection of Machinery Open

Yuanbiao He, Zijian Qiao, Yanan Gai, Shan Wang, Zhihui Lai · 2025

Simultaneous determination of concentration of sulfamethoxazole and trimethoprim in human plasma by dual-quaternary HPLC and its clinical application Open

Li Nong, Yunxia Tang, Xue Qin, Zhou Zhou, Zhihui Lai , et al. · 2024

Sulfamethoxazole compound, a combination of sulfamethoxazole and trimethoprim, is commonly prescribed to organ transplant recipients for infections caused by Nocardia, Burkholderia cepacia, and Pneumocystis jirovecii. The intricate pharmac…

Stochastic resonance array for designing noise-boosted filter banks to enhance weak multi-harmonic fault characteristics of machinery Open

Zijian Qiao, Cheng-Long Zhang, Cailiang Zhang, Xin Ma, Ronghua Zhu , et al. · 2024

The role of potential-well width and potential-barrier height or potential-well depth in a triple-well potential on SR has not been investigated separately yet and the effect of a both uniform depth and different depth between left/right p…

Inert-Remodeling Strategy to Build Bimetal-Confined Nitrogen-Doped Carbon Nanozyme for Colorimetric-Chemiluminescent Imaging Dual-Mode Cascade Enzyme Sensing Open

Kai Liu, Yuru Wang, Haibing Zhu, Feng Shi, Zhihui Lai , et al. · 2024

A nonlinear damped metamaterial: Wideband attenuation with nonlinear bandgap and modal dissipation Open

Bao Zhao, Henrik R. Thomsen, Xingbo Pu, Shitong Fang, Zhihui Lai , et al. · 2023

Fractional Order Derivative and Time-Delay Feedback Enabled Stochastic Resonance for Bearing Fault Diagnosis Open

Yilei Mei, L Chen, Wentao Xu, Chao Liu, Zijian Qiao , et al. · 2023

The benefits of noise can be found in nonlinear systems where a type of resonances can inject the noise into systems to enhance weak signals of interest, including stochastic resonance, vibrational resonance, and chaotic resonance. Such be…

Transfer condition monitoring across wind turbines using feature alignment and parameter fine-tuning Open

Shuai Chen, Zijian Qiao, Chongyang Xie, Ronghua Zhu, Zhihui Lai , et al. · 2023

Transfer condition monitoring across wind turbines still exists two issues. (1) The model of single turbine trained is directly used for other ones in the wind farm to result in low monitoring accuracy because of individual features of eac…

A Nonlinear Damped Metamaterial: Wideband Attenuation with Nonlinear Bandgap and Modal Dissipation Open

Bao Zhao, Henrik R. Thomsen, Xingbo Pu, Shitong Fang, Zhihui Lai , et al. · 2023

In this paper, we incorporate the effect of nonlinear damping with the concept of locally resonant metamaterials to enable vibration attenuation beyond the conventional bandgap range. The proposed design combines a linear host cantilever b…

High-Performance Adaptive Weak Fault Diagnosis Based on the Global Parameter Optimization Model of a Cascaded Stochastic Resonance System Open

Zhihui Lai, Zhangjun Huang, Xu Min, Chen Wang, Junchen Xu , et al. · 2023

Stochastic resonance (SR), as a type of noise-assisted signal processing method, has been widely applied in weak signal detection and mechanical weak fault diagnosis. In order to further improve the weak signal detection performance of SR-…

Stochastic Resonance with Parameter Estimation for Enhancing Unknown Compound Fault Detection of Bearings Open

Xu Min, Chao Zheng, Kelei Sun, Li Xu, Zijian Qiao , et al. · 2023

Although stochastic resonance (SR) has been widely used to enhance weak fault signatures in machinery and has obtained remarkable achievements in engineering application, the parameter optimization of the existing SR-based methods requires…

A frequency up-conversion rotational energy harvester with auxetic structures for high power output Open

Keyu Chen, Shitong Fang, Zhihui Lai, Junyi Cao, Wei‐Hsin Liao · 2023

Rotational energy harvesters (REHs) have been explored to substitute conventional batteries for small electronic sensors. However, there still exists a challenge for REHs to scavenge sufficient energy under low-rotational-frequency excitat…

Myoelectric Pattern Recognition Using Gramian Angular Field and Convolutional Neural Networks for Muscle–Computer Interface Open

Junjun Fan, Jiajun Wen, Zhihui Lai · 2023

In the field of the muscle–computer interface, the most challenging task is extracting patterns from complex surface electromyography (sEMG) signals to improve the performance of myoelectric pattern recognition. To address this problem, a …

Triple Frequency-Up Converting Broadband Energy Harvester with Stoppers Induced Bending Modes Switching Open

Jiawen Xu, Zhikang Liu, Zhihui Lai, Nan Shao, Hongxin Yang · 2023

Stochastic Resonance Array for Designing Noise-Boosted Filter Banks to Enhance Weak Multi-Harmonic Fault Characteristics of Machinery Open

Zijian Qiao, Chenglong Zhang, Cailiang Zhang, Xin Ma, Ronghua Zhu , et al. · 2023

Triple Frequency-Up Converting Broadband Energy Harvester with Stoppers Induced Bending Modes Switching Open

Jiawen Xu, Zhikang Liu, Zhihui Lai, Nan Shao, Hongxin Yang · 2023

Research on a Bearing Fault Enhancement Diagnosis Method with Convolutional Neural Network Based on Adaptive Stochastic Resonance Open

Chen Wang, Zijian Qiao, Zhangjun Huang, Junchen Xu, Shitong Fang , et al. · 2022

As a powerful feature extraction tool, a convolutional neural network (CNN) has strong adaptability for big data applications such as bearing fault diagnosis, whereas the classification performance is limited when the quality of raw signal…

Noisy Low-Illumination Image Enhancement Based on Parallel Duffing Oscillator and IMOGOA Open

Jinjun Liu, Qi-Hang Shi, Zhao Jian, Zhihui Lai, Lei-Lei Li · 2022

In complex environment, the captured images face several kinds of problems, including low illumination and intensive noise, which deteriorates image quality and has a great impact on the follow-up work. In this work, inspired by stochastic…

Self-powered and self-sensing devices based on human motion Open

Zhihui Lai, Junchen Xu, Chris Bowen, Shengxi Zhou · 2022

Harmonic-Gaussian double-well potential stochastic resonance with its application to enhance weak fault characteristics of machinery Open

Zijian Qiao, Shuai Chen, Zhihui Lai, Shengtong Zhou, Miguel A. F. Sanjuán · 2022

Although noise is ubiquitous and unwanted in detecting weak signals, the phenomenon of stochastic resonance (SR) is beneficial for enhancing weak signals embedded in signals with strong background noise. Taking into account that nonlinear …

A Frequency Up-Conversion Rotational Energy Harvester with Auxetic Structures for High Power Output Open

Keyu Chen, Shitong Fang, Zhihui Lai, Wei‐Hsin Liao · 2022

Rolling Bearing Fault Diagnosis Based on Adaptive Multiparameter-Adjusting Bistable Stochastic Resonance Open

Zhihui Lai, Shuting Wang, G. Q. Zhang, Cailiang Zhang, Jianwei Zhang · 2020

The weak-signal detection technologies based on stochastic resonance (SR) play important roles in the vibration-based health monitoring and fault diagnosis of rolling bearings, especially at their early-fault stage. Aiming at the parameter…

Investigation on the Impact-Based Energy Conversion of a Dielectric Elastomer Membrane Open

Xixin Rao, Cailiang Zhang, Likuan Zhu, Guoqing Zhang, Jianwei Zhang , et al. · 2020

Dielectric elastomer generators (DEGs) provide a new solution for vibrational energy harvesting. Currently, a type of impact-based DEGs, which can harvest energy from ambient vibrations, has been proposed and studied through simulations. H…

Multi-Frequency Signal Detection Based on Frequency Exchange and Re-Scaling Stochastic Resonance and Its Application to Weak Fault Diagnosis Open

Jinjun Liu, Yonggang Leng, Zhihui Lai, Sheng‐Bo Fan · 2018

Mechanical fault diagnosis usually requires not only identification of the fault characteristic frequency, but also detection of its second and/or higher harmonics. However, it is difficult to detect a multi-frequency fault signal through …

Corrigendum: Theoretical and applied research on bistable dual-piezoelectric-cantilever vibration energy harvesting toward realistic ambience (2016 <i>Smart Mater. Struct.</i> 25 115032) Open

Yuji Gao, Yonggang Leng, Ali Javey, Dan Tan, Jie Liu , et al. · 2017

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