A5113330435- Gear and Bearing Dynamics Analysis
- Machine Fault Diagnosis Techniques
- Advanced Image Fusion Techniques
- Industrial Vision Systems and Defect Detection
- Remote-Sensing Image Classification
- Engineering Diagnostics and Reliability
- Lubricants and Their Additives
- Optical Systems and Laser Technology
- Advanced Materials and Mechanics
- Advanced Surface Polishing Techniques
- Advanced Measurement and Detection Methods
- Tribology and Lubrication Engineering
- Soft Robotics and Applications
- Modular Robots and Swarm Intelligence
- Image and Signal Denoising Methods
- Advanced machining processes and optimization
Qiqihar University
2024-2025
Guangzhou University
2024
North China University of Technology
2022
Northeastern University
2006
Medical image fusion has been used to derive useful information from multimodality medical data. The idea is improve the content by fusing images like computer tomography (CT) and magnetic resonance imaging (MRI) images, so as provide more doctor clinical treatment planning system. This paper aims demonstrate application of wavelet transformation multi-modality fusion. work covers selection function, use based algorithms on CT MRI quality evaluation. We introduce peak-to-peak signal-to-noise...
In recent years, single-source-data-based deep learning methods have made considerable strides in the field of fault diagnosis. Nevertheless, extraction useful information from multi-source data remains a challenge. this paper, we propose novel approach called Genetic Simulated Annealing Optimization (GASA) method with convolutional neural network (MSCNN) for diagnosis rolling bearing. This aims to identify bearing faults more accurately and make full use data. Initially, vibration signal is...
In deep-hole boring processes, bars with a large length-to-diameter ratio are typically employed. However, excessive overhang significantly reduces the bar’s stiffness, inducing vibrational effects that severely degrade machining precision and surface quality. To address this, research objective is to suppress vibrations using tunable-parameter bar. This paper proposes novel Tunable Dynamic Vibration Absorber (TDVA) bar designs its fundamental parameters. Based on derived dynamic model,...