A5101954389- Machine Fault Diagnosis Techniques
- Digital Media Forensic Detection
- Advanced Steganography and Watermarking Techniques
- Tribology and Lubrication Engineering
- Gear and Bearing Dynamics Analysis
- Chaos-based Image/Signal Encryption
- Metallic Glasses and Amorphous Alloys
- Magnetic Bearings and Levitation Dynamics
- Industrial Technology and Control Systems
- Industrial Vision Systems and Defect Detection
- Manufacturing Process and Optimization
- Fault Detection and Control Systems
- High Entropy Alloys Studies
- Engineering Diagnostics and Reliability
- Advanced Sensor and Control Systems
- Belt Conveyor Systems Engineering
- Intermetallics and Advanced Alloy Properties
- Microstructure and mechanical properties
- Mechanical Failure Analysis and Simulation
- Welding Techniques and Residual Stresses
- Hydrocarbon exploration and reservoir analysis
- Mineral Processing and Grinding
- Erosion and Abrasive Machining
- Structural Health Monitoring Techniques
- Arctic and Antarctic ice dynamics
China Medical University
2025
Fourth Affiliated Hospital of China Medical University
2025
China University of Mining and Technology
2011-2024
Chinese Academy of Sciences
2010-2024
University of Science and Technology Beijing
2024
Beijing City University
2024
China Aerospace Science and Technology Corporation
2023
Yulin University
2023
Research Institute of Petroleum Exploration and Development
2022
China National Petroleum Corporation (China)
2022
Abstract Condensing heat exchangers onboard manned spacecraft require hydrophilic fin surfaces to facilitate wetting and wicking of condensate achieve gravity‐independent water separation in the zero‐ or micro‐gravity environment space. In order prevent proliferation microbes, coating must also be biocidal. Here we show for first time that zeolite A ZSM‐5 coatings deposited via in‐situ crystallization on stainless steel aluminum alloys have excellent hydrophilicity, biocidal properties,...
Here we present the FHIRM-TPM 3.0, a 2.6 g miniature two-photon microscope capable of multicolor deep-brain imaging in freely behaving mice. The system was integrated with broadband anti-resonant hollow-core fiber featuring low transmission loss, minimal dispersion from 700-1060 nm, and high tolerance laser power. By correcting chromatic spherical aberrations optimizing fluorescence collection aperture, achieved cortical neuronal at depths exceeding 820 μm and, using GRIN lens, hippocampal...
Fault diagnosis plays a very important role in ensuring the safe and reliable operations of machines. Currently, deep learning-based fault is attracting increasing attention. However, under variable working conditions has been significant challenge due to domain discrepancy problem. This problem also unavoidable methods. paper contributes ongoing investigation by proposing new approach for based on STFT transfer residual network (TDRN). The was employed convert vibration signal...
Rolling bearings are crucial parts of primary mine fans. In order to guarantee the safety coal production, fans commonly work during regular operation and immediately shut down for repair in case failure. This causes sample imbalance phenomenon fault diagnosis (FD), i.e., there many more normal state samples than faulty ones, seriously affecting precision FD. Therefore, current study presents an FD approach rolling under conditions via symmetrized dot pattern (SDP) images, denoising...
The hoist cage is used to lift miners in a coal mine’s auxiliary shaft. Monitoring miners’ unsafe behaviors and their status the crucial production safety mines. In this study, visual detection model proposed estimate number categories of miners, identify whether are wearing helmets they have fallen cage. A dataset with eight statuses cages was developed for training validating model. Using dataset, classical models were trained comparison, from which YOLOv5s selected be basic Due...
With the continuous progress of modern industry, rotating machinery is gradually developing toward complexity and intelligence. The fault diagnosis technology one key means to ensure normal operation equipment safe production, which has very important significance. Deep learning a useful tool for analyzing processing big data, been widely used in various fields. After brief review early methods, this paper focuses on method models that are deep learning: belief networks (DBN), autoencoders...
In this paper, we propose a feature selection and transformation approach for universal steganalysis based on genetic algorithm (GA) higher order statistics. We choose three types of typical statistics as candidate features twelve kinds basic functions transformations. The GA is utilized to select subset features, transformations coefficients the logistic regression model blind image steganalysis. then used classifier. Experimental results show that increases detection accuracy also provides...
Spring failure is one of the critical causes structural damage and low screening efficiency mining vibrating screens. Therefore, spring diagnosis necessary to prompt maintenance for safety reliability In this paper, a approach developed. A finite element model screens established. Simulations are carried out influence rules on dynamic characteristics obtained. These indicate that amplitude variation coefficients (AVCs) four seats in x, y, z directions can reveal two kinds single double...
Rolling bearings are a vital component of mechanical equipment. It is crucial to implement rolling bearing fault diagnosis research guarantee the stability long-term action Conversion vibration signals into images for has been practical diagnostic approach. The current paper presents method using symmetrized dot pattern (SDP) and deep residual network with convolutional block attention module (CBAM-DRN). signal first visualized transformed an SDP image distinct characteristics. Then,...
Abstract The dynamic mechanical behaviors of Zr‐based metallic glass reinforced porous tungsten matrix composite were investigated by a split Hopkinson pressure bar at different testing temperatures. flow stress the decreased, while ductility increased with increasing temperature, which attributed to that more microcracks initiated in phase as well microshear bands induced temperature. failure mode is mixture shearing and axial splitting. layer fracture surface 473 K was longer thinner than 223 K.
In this paper, we propose a feature generation and classification approach for universal steganalysis based on genetic algorithm (GA) higher order statistics. The GA is utilized to select subset of candidate features, transformations generate new features. logistic regression model Bayesian network are then used as the classifier. Experimental results show that increases blind detection accuracy also provides good generality by identifying an untrained stego-algorithm.
This paper presents a method for calculating the health degree (HD) of braking system mine hoist combined with three-level fuzzy comprehensive assessment (TLFCA) and back-propagation neural network (BPNN). Firstly, monitored values sensor are fused by multi-time fusion (FCAVs) condition (HC) obtained. Secondly, FCAVs all sensors in subsystem multi-sensor fusion, Then subsystems multi-subsystem All fed into pre-trained network, corresponding HD sensor, is Finally, practicability, reliability...
This study focuses on the organic-rich mud shale in Upper Palaeozoic transitional facies southeastern margin of Ordos Basin. It systematically analyzes gas accumulation conditions Lower Permian Shanxi-Taiyuan Formation, including thickness, distribution, organic matter type and content, thermal maturity, reservoir space, gas-bearing property, rock brittleness. The results show that thick dark contains a high is suitable kerogen for generation, exhibits moderate evolution, providing excellent...
Rotor unbalance identification plays a critical role in balancing rotors. In this paper, concerned with multi-disc and multi-span rotor-bearing systems, two novel algorithms called the Single Direction Algorithm (SDA) Two Orthogonal (TODA) are proposed for identifying rotor from responses. A matrix method is to solve problem of equations being non-linear transcendental, there too many unknown variables equations, unbalances bearing coefficients coupled together. The responses at all...