A5050343451- Innovative Energy Harvesting Technologies
- Machine Fault Diagnosis Techniques
- Advanced Algorithms and Applications
- Gear and Bearing Dynamics Analysis
- Advanced Sensor and Control Systems
- Energy Harvesting in Wireless Networks
- Industrial Technology and Control Systems
- Ultrasonics and Acoustic Wave Propagation
- Belt Conveyor Systems Engineering
- Non-Destructive Testing Techniques
- Tunneling and Rock Mechanics
- Engineering Diagnostics and Reliability
- Advanced Measurement and Detection Methods
- Wireless Power Transfer Systems
- 3D Surveying and Cultural Heritage
- Piezoelectric Actuators and Control
- Magnetic Bearings and Levitation Dynamics
- Soft Robotics and Applications
- Image and Object Detection Techniques
- Industrial Vision Systems and Defect Detection
- Geophysical Methods and Applications
- Simulation and Modeling Applications
- Power Line Inspection Robots
- Advanced machining processes and optimization
- Advanced Computational Techniques and Applications
Xi'an University of Science and Technology
2016-2025
Beijing Jingshida Electromechanical Equipment Research Institute
2018-2025
Harbin University of Science and Technology
2006-2024
University of Electronic Science and Technology of China
2024
Chinese University of Hong Kong, Shenzhen
2024
Guangdong University of Technology
2024
Panzhihua University
2007-2023
Technical University of Munich
2023
Chinese Academy of Sciences
2016-2022
Institute of Mechanics
2010-2022
OECD countries are at the forefront of sustainable development and working in several domains, including energy efficiency, environmental taxes, green technology. On this premise, study's main objective is to examine impact technology , taxes natural resources on efficiency. The study used three dimensions measurement: (i) (ii) productivity, (iii) intensity for OECD. An important feature use "Rule Law" implement tax reforms Malmquist–Luenberger super SBM-DEA measure efficiency productivity....
Distinct corrosion behavior was reported in multiphased titanium alloys prepared by additive manufacturing and traditional technologies because of different phase constituents formed during processing. An open question is therefore raised: there always materials methods? This work reports resemble selective laser melted wrought single β-phase Ti-24Nb-4Zr-8Sn (Ti2448) both NaCl solution Hank's solution. The electrochemical measurements showed that samples have close calculated polarization...
Abstract The rolling bearing is a key element of rotating machine and its fault diagnosis research focus. When single fails to be addressed in time, it will cause progressive composite faults between the other elements. In this paper, different cases rotor are considered. First, an information fusion-empirical mode decomposition-angle adaptive distribution polar coordinates image method proposed, which has expression ability for tested vibration signal, can provide high-quality samples model...
Abstract The underground coal mine production of the fully mechanized mining face exists many problems, such as poor operating environment, high accident rate and so on. Recently, intelligent autonomous is gradually replacing traditional process. artificial intelligence technology an active research area expect to identify warn abnormal conditions for longwall mining. It inseparable from construction datasets, but downhole dataset still blank at present. This work develops image (DsLMF+),...
Safe path planning is essential for the autonomous operation of robotic roadheader in narrow underground tunnels, where limited perception and robot’s geometric constraints present significant challenges. Traditional methods often fail to address these issues. This paper proposes a collision prediction-integrated method tailored confined environments. The comprises two components: prediction planning. A model based on artificial potential fields developed, considering non-convex shape...
This work proposes a novel multi-camera system-based method for relative pose estimation and virtual–physical collision detection anchor digging equipment. It is dedicated to addressing the critical challenges of achieving accurate reliable between multiple devices during collaborative operations in coal mines. The key innovation that multi-target system established collect images, completed by EPNP (Efficient Perspective N-Point) algorithm based on infrared LED targets. At same time,...
This paper proposes a cutting trajectory planning method for boom-type roadheaders using an improved Nondominated Sorting Genetic Algorithm II (NSGA-II) with elitist strategy. Existing methods often overlook constraints related to cutterhead dimensions and target sections, affecting section formation quality. We develop kinematic model coordinate transformations design simplified constraint generate feasible points. Bi-objective functions—minimizing length turning angle—are formulated as...
In the application of digital twin model digging face, data transmission will be transmitted to remote control platform through physical hardware via gateway, and this cross-system cross-software mode inevitably generate delay, which leads a certain spatial-temporal deviation between virtual scene site. paper, by analyzing operation process roadheading equipment, state evolution dynamics construction method for equipment is proposed, includes three stages, namely, discretization positional...
Occupational health risk prediction of miners is a core issue to ensure the safety high-risk operations. Current assessment methodologies face critical limitations, as conventional unimodal systems frequently demonstrate limited efficacy in capturing multifactorial nature occupational deterioration. This study presents novel stacked ensemble architecture employing dual-phase algorithmic optimization address these muti-parametric interactions. The proposed framework implements hierarchical...
As a critical task in underground coal mining, personnel identification and positioning fully mechanized mining faces are essential for safety. Yet, complex environmental factors—such as narrow tunnels, heavy dust, uneven lighting—pose significant challenges to accurate detection. In this paper, we propose detection network, MSS-YOLO, based on YOLOv8. By designing Multi-Scale Edge Enhancement (MSEE) module fusing it with the C2f module, performance of network feature extraction under...
Microlenses are essential optics widely used in many fields. The microfluidics-assisted fabrication method provides a rapid, convenient way to manufacture microlenses. However, there is no mathematical model describe the profile of liquid surface. This paper theoretical explanation and for formation surface different curvatures microholes shapes. A numerical based on finite–difference time–domain verifies model. Furthermore, optical properties microlenses shapes analyzed through demolded...
Aiming at the problems of poor image quality traditional cameras and serious noise interference event under complex lighting conditions in coal mines, an denoising algorithm fusing spatio-temporal information a method target pose estimation is proposed. The constructs spherical neighborhood to enhance denseness continuity valid events, combines density curvature achieve stream denoising. attitude framework adopts reduction global optimal perspective-n-line (OPNL) methods obtain initial...
Under the conditions of variable speed and load for motor, there are some problems such as complex operation data, difficult fault feature extraction insufficient model generalization ability. A fusion method based on adaptive chirp mode decomposition (ACMD) maximum absolute value rule (MAVR) a diagnosis improved convolutional neural network proposed, which provides an efficient anti-noise solution motor under conditions. First, instantaneous frequencies (IFs) vibration current signals...
Under the discipline of nonlinear ultrasonics, in addition to second harmonic generation, static component generation is another frequently used ultrasonic behavior non-destructive testing (NDT) and structural health monitoring (SHM) communities. However, most previous studies on are mainly based using longitudinal waves. It desirable extend from primary waves Lamb In this paper, studied. Two major issues numerically investigated. First, mode displacement generated different wave modes...
Rolling bearing is key component of rotating machinery and its fault diagnosis great significance for reliable operation machine. In this paper, an intelligent method rolling based on FCM clustering vibration images obtained by EMD-PWVD presented. Firstly, signals with different degrees are transformed into contour time-frequency EMD-PWVD. Secondly, divided sections their energy distribution values used as image feature. Then, feature vectors constructed known signals, which standardized...