A5029755426- Robotic Path Planning Algorithms
- Machine Fault Diagnosis Techniques
- Robotics and Sensor-Based Localization
- Gear and Bearing Dynamics Analysis
- Surface Roughness and Optical Measurements
- Vehicle License Plate Recognition
- Robotics and Automated Systems
- Advanced Manufacturing and Logistics Optimization
- Fluid Dynamics and Mixing
- IoT-based Smart Home Systems
- Innovative Microfluidic and Catalytic Techniques Innovation
- Dynamics and Control of Mechanical Systems
- Wave and Wind Energy Systems
- Microfluidic and Capillary Electrophoresis Applications
- Robot Manipulation and Learning
- UAV Applications and Optimization
- Magnetic Bearings and Levitation Dynamics
- Structural Integrity and Reliability Analysis
- Non-Destructive Testing Techniques
- Engineering Diagnostics and Reliability
- Advanced Measurement and Metrology Techniques
- Optical measurement and interference techniques
- Mechanical Failure Analysis and Simulation
Jiangsu University
2025
Jiangsu Industry Technology Research Institute
2025
Guangdong Polytechnic Normal University
2021-2024
This research introduces a path planning method based on the geometric A-star algorithm. The whole approach is applied to an Automated Guided Vehicle (AGV) in order avoid problems of many nodes, long-distance and large turning angle, these usually exist sawtooth cross paths produced by traditional First, grid models port environment. Second, nodes close-list are filtered functions P(x,y ) W(x,y that do not meet requirements removed generation irregular paths. Simultaneously, enhance...
Deep learning has achieved notable success in bearing fault diagnosis. However, this is limited to single-dimension information and issues with larger models complex computations, making it impractical for industries requiring high accuracy easy deployment. Considering the need intelligent diagnostic wind power operation maintenance balance practicality, paper proposes an architecture constructing a lightweight diagnosis model based on multi-source heterogeneous signal fusion knowledge...
The performance of wind turbines relies heavily on the stability and durability their main bearings, which endure unpredictable forces inherent in energy fluctuations. Given heightened risk faults stemming from this variability, ensuring reliability each turbine???s bearing under dynamic conditions within farms is paramount. To address challenge, an innovative diagnostic framework, aiming to detect bearings vibration signals overcome diverse operating types encountered farms, proposed paper....
A suitable trajectory in a port inspection mission is important for unmanned aerial vehicles (UAVs). Motion planning can help UAVs quickly generate an optimal that meets the constraints. The motion of achieved this paper as follows: firstly, collision detection (CD) function applied evaluates whether bias_RRT* (rapidly exploring random tree) algorithm needs to be called. Secondly, isosceles triangle optimization optimizes path. Next, generated based on minimum snap method. Lastly, and...
Crystallization is important to the pharmaceutical, chemical, and materials fields, where morphology of crystals one key factors affecting quality crystallization. High-throughput screening based on microfluidic droplets a potent technique accelerate discovery development new crystal morphologies with active pharmaceutical ingredients. However, massive morphologies’ datum needs be identified completely accurately, which time-consuming labor-intensive. Therefore, effective detection...
Measuring geometric properties for large-sized parts is faced with various challenges. This study established a novel method measuring the flatness of large-scale annular workpieces, flange wind turbine tower as an example. The proposed based on three-dimensional (3D) machine vision and precision motion control technology, aiming to address issues such distorted measurements, long measurement times, significant safety risks. primarily focused development algorithms workpieces through...
While Unmanned Aerial Vehicles (UAVs) can be a valuable solution for the damage inspection of port machinery infrastructures, their trajectories are still prone to collision risks, trajectory non-smoothness, and large deviations. This research introduces optimization method inspecting vulnerable parts gantry crane by UAV fitted with high-definition (HD) camera. We first analyze crane, then use A* algorithm plan path UAV. The process is divided into two steps, correction second an objective...
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With the rapid development of marine engineering in recent years, offshore operations have become increasingly common, making wave compensation platforms crucial for safe at sea. This paper presents a pendulum-type platform specifically designed applications. The main components this include chassis, support base, hydraulic cylinders, telescopic rods, upper platform, three sets balancing mechanisms, tilt angle sensors, and control system. Firstly, to thoroughly understand compensatory motion...