A5100705696- Advanced Battery Technologies Research
- Plasma Applications and Diagnostics
- Integrated Circuits and Semiconductor Failure Analysis
- Machine Fault Diagnosis Techniques
- Advancements in Battery Materials
- Aerosol Filtration and Electrostatic Precipitation
- Plasma Diagnostics and Applications
- VLSI and Analog Circuit Testing
- Functional Brain Connectivity Studies
- Industrial Vision Systems and Defect Detection
- Silicon Carbide Semiconductor Technologies
- Advanced Neuroimaging Techniques and Applications
- Advanced Battery Materials and Technologies
- Inertial Sensor and Navigation
- Engineering and Test Systems
- Multilevel Inverters and Converters
- Electrohydrodynamics and Fluid Dynamics
- Dementia and Cognitive Impairment Research
- Machine Learning and ELM
- Surface Modification and Superhydrophobicity
- Gear and Bearing Dynamics Analysis
- Mechanical Failure Analysis and Simulation
- Fault Detection and Control Systems
- Central Asia Education and Culture
- Hong Kong and Taiwan Politics
First Affiliated Hospital of Xiamen University
2025
Anhui University of Science and Technology
2011-2025
University of Jinan
2023-2025
Xi'an Technological University
2024
Gansu University of Traditional Chinese Medicine
2024
Blagoveschensk State Pedagogical University
2022
Dalian University of Technology
2020-2022
Nanchang Hangkong University
2022
Sichuan University
2021
Institute of Navigation
2021
State of health (SOH) estimation is always an important factor in ensuring the reliability and safety lithium-ion batteries. In view shortcomings existing SOH methods, such as non-universal, different batteries limited, accuracy insufficient. A fusion method that depends on empirical degradation model a data-driven proposed. First, we construct battery with charge-discharge cycles. Four working condition characteristics are extracted from actual charging discharging process Then, these...
Permanent magnet spherical motors (PMSpMs) are new special with multiple degrees of freedom capability in a limited space. This paper proposes heterogeneous sensor-based rotor attitude detection (RAD) approach for the PMSpM using distributed Kalman filtering method. An industrial camera is used to detect by integrating filter (visual method), order improve short-time occlusion ability. Meanwhile, MEMS sensor introduced simultaneously method (MEMS method). On basis this, network consists and...
Multi-level thresholding image segmentation divides an into multiple regions of interest and is a key step in processing analysis. Aiming toward the problems low accuracy slow convergence speed traditional multi-level threshold methods, this paper, we present based on improved slime mould algorithm (ISMA) symmetric cross-entropy for global optimization tasks. First, elite opposition-based learning (EOBL) was used to improve quality diversity initial population accelerate speed. The adaptive...
To improve the diagnostic performance rate of parameter faults in dc–dc converters, obtaining fault characteristics converters is crucial. This study combines a 1-D convolutional neural network (1DCNN) and long short-term memory (LSTM) with automatic hyperparametric optimization proposes deep learning models for time-series signal pattern recognition to achieve converter diagnosis. First, original voltage preprocessed obtain labeled sample dataset. The corresponding training set test are...
Purpose: Mild cognitive impairment (MCI) is considered to be the clinical transition stage between patients with cognitively intact geriatrics and Alzheimer’s disease (AD). When observed longitudinally, however, a certain proportion of MCI are expected revert state (MCI_R) while others either remain in (MCI_S) or deteriorate into AD (MCI_P). It worthwhile investigate divergence brain activities these groups different post hoc labels. Methods: In this study, we employed regional homogeneity...
To resolve the problems associated with small target presented by printed circuit board surface defects and low detection accuracy of these defects, surface-defect network DCR-YOLO is designed to meet premise real-time speed effectively improve accuracy. Firstly, backbone feature extraction DCR-backbone, which consists two CR residual blocks one common block, used for small-target defect on boards. Secondly, SDDT-FPN fusion module responsible high-level features low-level while enhancing...
Condition monitoring is an effective methodology to evaluate the health state of power electronics converters. Aiming at multiple devices estimation for boost converters, a non-invasive condition technique proposed in this paper. Taking equivalent circuit model se components into consideration, formulations failure precursors with detection signals are derived based on hybrid system theory. Then, parameter identification problem translated objective function optimization issue. Therefore,...
In this study, the effects of small nitrogen impurity on behaviors helium APPJs propagating into surrounding gas are investigated numerically based a two-dimensional fluid model. The results show that addition N2 can change APPJ length and there exists an optimal N2–helium ratio which enables plasma jet to reach maximum length. This is attributed variation mole fraction ionization rate in flow channel resulting from impurity. Like ambient air, with nitrogen, profile exposed environment...
Abstract This paper investigates the spatial-temporal evolution and transport of singlet delta oxygen (O 2 (a 1 Δ g )) an atmospheric pressure plasma jet using a 2D fluid modeling. The is produced in pure helium or with small admixtures (no bigger than 2%), by applying constant DC voltage +5 kV on annular electrode. It found that, at 0.7% O admixture, higher ) density obtained inside tube before impacts substrate. After propagates along substrate surface, peak transferred from to gap....
To improve the diagnostic accuracy rate of multiple parameter faults in widely used power electronic circuits, solving for overlapping fault characteristic signal is crucial. This paper proposes a novel approach diagnosing circuits that can adaptively adjust weights each feature according to enhance their discriminability. According properties measured has been decomposed via variational mode decomposition and wavelet packet energy entropy (VMD-WPEE) extract parameters. Furthermore,...
In this paper, the spatiotemporal developments of OH and O density in an atmospheric pressure helium–humid air plasma jet, both along effluent particular close to substrate surface, are evaluated under different governing parameters by performing two-dimensional numerical simulation. The results show that reducing gas flow velocity can increase its shorten delivery time surface. However, jet propagation stages, dependences distributions two species on speed different. Before impinges atom...
Prognosis of DC-DC power converters is necessary in embedded and safety critical applications to prevent further damages. However, most the prognostic methods are focus on components converters. Furthermore, seldom consider effect changes operating conditions (e.g. supply load). In order address these problems, an innovative system-level fault characteristic parameter (FCP) represents degradation status entire converter extracted, a method based trend prediction FCP proposed. Firstly,...
A terahertz (THz) sensor is presented based on a metasurface integrated with Au nanoparticles (AuNPs). It was used to improve the sensitivity of detection whey protein and enhance sensing index group delay. This demonstrates that AuNPs can performance biosensor. The internal mechanism be explained by modified perturbation theory coupled harmonic oscillator model. study provides means enhancing THz
Abstract: For the problem of small target printed circuit board surface defects and low detection accuracy, defect network DCR-YOLO is designed to meet premise real-time speed effectively improve accuracy. Firstly, backbone feature extraction DCR-backbone, consisting two CR residual blocks one common block, used for on boards. Secondly, SDDT-FPN fusion module responsible high level features features, while enhancing layer where prediction head YOLO Head-P3 located further enhance...
A 2D axisymmetric study of the atmospheric pressure plasma jets driven by a trapezoidal pulse voltage with different polarities is performed in this work. The basic properties jet three stages, including first discharge, secondary and afterglow jet, are studied, emphasis on influence polarity discharge afterglow. For positive voltage, propagates form bullet during stage. At falling edge pulse, new ionization wave resulting from formed forward along preceding path continuous mode, mixing...
Aiming at the problem of poor classification and recognition rate for distorted texture image based on single feature, a method multi-features fusion is proposed. First, corresponding GLCM features, HOG HU moment features were extracted from segmented images. Then, three feature matrices cascaded into new matrix, principal component analysis was used to reduce dimension matrix. Finally, fused matrix inputted support vector machine (SVM) training, so that final discriminant model obtained....