Ligang Yao

ORCID: 0000-0002-7183-7794
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About
Contact & Profiles
Research Areas
  • Gear and Bearing Dynamics Analysis
  • Machine Fault Diagnosis Techniques
  • Mechanical Engineering and Vibrations Research
  • Soft Robotics and Applications
  • Muscle activation and electromyography studies
  • Tribology and Lubrication Engineering
  • Prosthetics and Rehabilitation Robotics
  • Micro and Nano Robotics
  • Metallurgy and Material Forming
  • Stroke Rehabilitation and Recovery
  • Hydraulic and Pneumatic Systems
  • Advanced machining processes and optimization
  • Advanced Materials and Mechanics
  • Robot Manipulation and Learning
  • Engineering Diagnostics and Reliability
  • Hand Gesture Recognition Systems
  • Robotic Mechanisms and Dynamics
  • Advanced Sensor and Energy Harvesting Materials
  • Modular Robots and Swarm Intelligence
  • Iterative Learning Control Systems
  • Electric Motor Design and Analysis
  • Fault Detection and Control Systems
  • Magnetic Bearings and Levitation Dynamics
  • Engineering Technology and Methodologies
  • Advanced Battery Technologies Research

Fuzhou University
2016-2025

Fujian Provincial Cancer Hospital
2023

Fujian Inspection and Research Institute for Product Quality
2021

Anhui University of Technology
2021

American Society of Mechanical Engineers
2005

King's College London
2005

University College London
2005

University of London
2005

Soft actuators that exhibit large deformation and can move at a fast speed in response to external stimuli have been high demand for biomimetic applications. In this paper, we propose convenient approach fabricate reversible thermal-responsive composite hydrogel. Under the irradiation of visible light, striped hydrogel bend up 65.72°/s with carbon nanotubes loaded concentration 3 mg/mL. A jellyfish-like miniature soft robot is made using When driven by maximum 3.37 mm/s. Besides swimming,...

10.1021/acsami.1c13975 article EN ACS Applied Materials & Interfaces 2021-08-26

The YOLOv4 neural network is employed for underwater target recognition. To improve the accuracy and speed of recognition, structure modified by replacing upsampling module with a deconvolution incorporating depthwise separable convolution into network. Moreover, training set used in YOLO preprocessed using mosaic augmentation, which gray world algorithm to derive two images when performing augmentation. recognition results comparison other detectors demonstrate effectiveness proposed method...

10.3390/electronics10141634 article EN Electronics 2021-07-09

Human-machine interface(HMI) technology has gradually become a research hotspot with the continuous development of computer and Internet Things (IOT) technology. Hand gesture recognition (HGR) as an important part HMI been widely concerned. Among many technical routes HGR technology, wearable based on A-mode ultrasound shows great application potential due to its advantages such lightweight device, free from sensors' constraint etc. However, in process processing ultrasonic signal, amplitude...

10.1109/jsen.2022.3167696 article EN IEEE Sensors Journal 2022-04-19

At present, the research on gesture recognition based ultrasonic signals is mostly about static gestures. Compared with gestures, dynamic gestures reflect human intent more intuitively. However, speed difference of will cause a mismatch in time series. To tackle this problem, we proposed scheme warping (DTW) algorithm. First, forearm muscles were acquired by four A-mode transducers. Second, original underwent Gaussian filtering, feature extraction, normalization, and principal component...

10.1109/jsen.2022.3194272 article EN IEEE Sensors Journal 2022-08-02

A model of a submerged angular cavitation nozzle is established, which consists contraction part, parallel middle and expansion part. Based on the CFD technique, numerical simulation flow field carried out, in multiphase mixture model, renormalization group (RNG) k-ε turbulence are applied. Considering influence density cavitation, effects inlet outlet part velocity vapor volume fraction studied. The results show that essential jet. When diameter d fixed, designed with angle α = 13.5°,...

10.3390/app13010613 article EN cc-by Applied Sciences 2023-01-02

In response to the new requirements for face gear transmissions in latest heavy-load helicopters, this paper investigates impact of pressure angle variations on geometric contact and performance asymmetric gears. Firstly, using meshing theory, tooth surface equations rack cutter, shaper, are derived, parameterized 3D models created. Secondly, line action (LOA), ratio, point curvature, load sharing ratio considering multi-pair (MPC) under different angles analyzed. Then, a wear calculation...

10.1177/13506501251317249 article EN other-oa Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology 2025-02-28

The wires and ground on transmission towers cannot be straight lines, but present different sizes of arcs, which directly affect the safety quality line. In response to this, a research proposes an online monitoring system for based computer video algorithms. collects environment mechanism parameters lines by installing sensors towers, monitors them through algorithms, combines grey wolf algorithm deep learning models predict sag, thereby achieving crisis warning power grid around towers....

10.61091/jcmcc124-32 article EN Journal of Combinatorial Mathematics and Combinatorial Computing 2025-02-18

Abstract Toroidal drives combine a planetary gear drive with worm drive. Furthermore, in toroidal drives, the teeth are movable. The motion of spherical movable for gears affects friction, wear and transmission efficiency meshing surface, but this effect has not been thoroughly studied to date. This study involved kinematic analysis teeth. Frenet-fram was first introduced into describe A contact carried out, mathematical model rolling–sliding between central spiral groove established via...

10.1038/s41598-025-95352-9 article EN cc-by Scientific Reports 2025-04-01

Abstract In the past two decades, micro/nanomotor is emerging as a critical domain of nanoscale research. Light-driven micro/nanomotors have gained wealth attention from academics because their potential applications in various fields such environment remediation, biomedical field and cargo delivery at microscale. order to perform some more challenging complex tasks, higher actuation force precise control are both indispensable for light-driven micro/nanomotors. this review, we discussed...

10.1515/ntrev-2018-0106 article EN Nanotechnology Reviews 2018-11-01

A-mode ultrasound has the advantages of high resolution, easy calculation and low cost in predicting dexterous gestures. In order to accelerate popularization gesture recognition technology, we designed a human-machine interface that can interact with user real-time. Data processing includes Gaussian filtering, feature extraction PCA dimensionality reduction. The NB, LDA SVM algorithms were selected train machine learning models. whole process was written C++ classify gestures This paper...

10.1109/tnsre.2022.3205026 article EN IEEE Transactions on Neural Systems and Rehabilitation Engineering 2022-01-01

The purpose of this paper is to propose a pair external and internal spiral bevel gears with double circular-arc in the nutation drive. Based on movement nutation, develops equations tooth profiles for gear set, leading mathematical modeling constant helical angle alignment curve, enabling surface be generated, permitting theoretical contacting lines produced light meshing function. Simulation verification are carried out prove equations. Numerical control (NC) simulation machining...

10.1115/1.4001003 article EN Journal of Mechanical Design 2010-02-01

Terahertz time-domain spectroscopy is a contactless and nondestructive testing technique that often used to measure the thickness of layered materials. However, presents limited detection resolution, especially in thin thermally grown oxide (TGO) thermal barrier coatings whose below 30 µm. In this study, an SWT-BP algorithm combining stationary wavelet transform (SWT) backpropagation (BP) neural network was proposed, regression coefficient SWT-detailed results 0.92. The prediction were good...

10.1364/ao.392748 article EN Applied Optics 2020-04-03
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