A5100327619- Machine Fault Diagnosis Techniques
- Metaheuristic Optimization Algorithms Research
- Industrial Vision Systems and Defect Detection
- Image Retrieval and Classification Techniques
- Manufacturing Process and Optimization
- Advanced Multi-Objective Optimization Algorithms
- Fault Detection and Control Systems
- Teleoperation and Haptic Systems
- Advanced Algorithms and Applications
- Advanced Image and Video Retrieval Techniques
- Digital Transformation in Industry
- Engineering Diagnostics and Reliability
- Advanced Surface Polishing Techniques
- Anomaly Detection Techniques and Applications
- Gear and Bearing Dynamics Analysis
- Robotic Path Planning Algorithms
- Evolutionary Algorithms and Applications
- Virtual Reality Applications and Impacts
- Face and Expression Recognition
- Industrial Technology and Control Systems
- Advanced Sensor and Control Systems
- Advanced MEMS and NEMS Technologies
- Thin-Film Transistor Technologies
- Tactile and Sensory Interactions
- Integrated Circuits and Semiconductor Failure Analysis
University of Hong Kong
1996-2025
Huazhong University of Science and Technology
2013-2025
Hong Kong University of Science and Technology
1996-2025
Wuhan University of Technology
2020-2025
Beijing Academy of Science and Technology
2025
Henan University
2024
Fujian University of Technology
2021-2024
Guangdong Medical College
2024
Guangxi Normal University
2020-2024
Florida State University
2024
In this paper, a novel data-driven robust approximate optimal tracking control scheme is proposed for unknown general nonlinear systems by using the adaptive dynamic programming (ADP) method. design of controller, only available input-output data required instead known system dynamics. A model established recurrent neural network (NN) to reconstruct dynamics data. By adding adjustable term related modeling error, resultant error first guaranteed converge zero. Then, based on obtained model,...
Purpose In the context of digital economy, information technology (IT) investment has become a necessary way for enterprises to transform digitally. However, why and how IT can enhance transformation is lacking in literature. Based on resource-based view (RBV), this study explored impact mechanism infrastructure from perspective strategy. Further, examined moderating role top management relationships between strategy enterprise's transformation. Design/methodology/approach Through...
Recently, research on multisensor fault diagnosis under noisy signals has gained significant attention. Due to various degrees of external interference and differences in sensor precision, the signal quality across different channels is inconsistent. These discrepancies are often neglected by models also difficult capture accurately. To solve this problem, article introduces a multiscale channel attention-driven graph dynamic fusion network for mechanical diagnosis. It can mine importance...
Fast acquisition and high axial resolution are two primary requirements for three-dimensional microscopy.However, they sometimes conflicting: imaging modalities such as confocal can deliver superior at the expense of sequential different planes, which is a timeconsuming process.Optical scanning holography (OSH) promises to good trade-off between these goals.With just single scan, we capture entire volume in digital hologram; data then be processed obtain individual sections.An accurate...
In this work, a novel robust model‐free adaptive control (Ro‐MFAC) algorithm for class of unknown multiple‐input multiple‐output (MIMO) systems with measurement noise is presented. The proposed algorithm, designing by dynamic linearisation data model the concept pseudo‐Jacobian matrix and an decreasing factor, pure data‐driven method, only input–output are involved system design. introduction factor to attenuate effect on performance improving robustness algorithm. stability Ro‐MFAC proven...
Six-degree-of-freedom (6-DOF) haptic rendering for fine manipulation in narrow space is a challenging topic because of frequent constraint changes caused by small tool movement and the requirement to preserve feel fine-features objects. In this paper, we introduce configuration-based constrained optimization method solving problem. We represent an object using hierarchy spheres, i.e., sphere tree, which allows faster detection multiple contacts/collisions among objects than polygonal mesh...