A5102728839- Power Transformer Diagnostics and Insulation
- Advanced Algorithms and Applications
- Advanced oxidation water treatment
- Advanced Photocatalysis Techniques
- Energy Load and Power Forecasting
- Machine Fault Diagnosis Techniques
- Image and Signal Denoising Methods
- Embedded Systems and FPGA Design
- Currency Recognition and Detection
- Metaheuristic Optimization Algorithms Research
- Power Quality and Harmonics
- High voltage insulation and dielectric phenomena
- Spectroscopy and Chemometric Analyses
- Advanced Computational Techniques and Applications
- Neural Networks and Applications
- Structural Health Monitoring Techniques
- Environmental remediation with nanomaterials
- Power Systems and Technologies
- Animal Genetics and Reproduction
- Analytical Chemistry and Sensors
- Advanced Data Compression Techniques
- Advanced Measurement and Detection Methods
- Wireless Sensor Networks and IoT
- Hydrological Forecasting Using AI
- Power Systems and Renewable Energy
Lishui University
2025
China Automotive Engineering Research Institute
2024
Chongqing University of Arts and Sciences
2024
Wuhan Textile University
2022-2023
Southern Medical University
2007-2023
University of Science and Technology Liaoning
2009-2023
University of Liverpool
2005-2014
South China University of Technology
2013-2014
Liaoning University
2010-2011
Northeastern University
2010
This paper presents a novel association rule mining (ARM)-based dissolved gas analysis (DGA) approach to fault diagnosis (FD) of power transformers. In the development ARM-based DGA approach, an attribute selection method and continuous datum discretization are used for choosing user-interested ARM attributes from data set, i.e. items that employed extract rules. The given set is composed two parts, training test sets. An algorithm namely Apriori-Total From Partial proposed generating (ARS)...
This paper presents an intelligent fault classification approach to power transformer dissolved gas analysis (DGA), dealing with highly versatile or noise-corrupted data. Bootstrap and genetic programming (GP) are implemented improve the interpretation accuracy for DGA of transformers. preprocessing is utilized approximately equalize sample numbers different classes subsequent GP feature extraction. applied establish features each class based on collected The extracted then used as inputs...
Multiple genetic modifications in pigs can essentially benefit research on agriculture, human disease and xenotransplantation. Most multi-transgenic have been produced by complex time-consuming breeding programs using multiple single-transgenic pigs. This study explored the feasibility of producing viral 2A peptide light previous indicating that it be utilized for multi-gene transfer gene therapy somatic cell reprogramming. A peptide-based double-promoter expression vector mediated four...
Hepatic expression profiling has revealed miRNA changes in liver diseases, while hepatic miR-155 was increased murine non-alcoholic fatty disease, suggesting that might regulate the biological process of lipid metabolism. To illustrate effects gain function transgenic mouse on metabolism, mice (i.e., Rm155LG mice) for conditional overexpression transgene mediated by Cre/lox P system were firstly generated around world this study. further crossed to Alb-Cre realize liver-specific...
Abstract Background Zingiber officinale Roscoe, colloquially known as ginger, is a crop of significant medicinal and culinary value that frequently encounters adversity stemming from inhospitable environmental conditions. The MYB transcription factors have garnered recognition for their pivotal role in orchestrating multitude plant biological pathways. Nevertheless, the enumeration characterization MYBs within Z. Roscoe remains unknown. This study embarks on genome-wide scrutiny gene lineage...
The forecasting of load demand has become one the major research fields in electricity market. It always been essential part an efficient power system planning and operation. This paper presents a new approach to multivariate by combining support vector regression with local prediction framework which employs correlation dimension mutual information methods used time-series analysis for data preprocessing. Local uses only set K nearest neighbours reconstructed embedded space considering more...
An approach to remove baseline wander from electrocardiogram (ECG) signals, based on empirical mode decomposition and mathematical morphology, is described.
This paper presents a new approach to shortterm wind speed prediction. The chaotic time series analysis method is used capture the characteristic of complex behavior in which correlation dimension employed calculate embedding series, then mutual information determine delay. Based on and delay, support vector regression (SVR) trained perform proposed evaluated using real-world data collected from farm. results have demonstrated accuracy prediction comparison with that offered by an artificial...
Background The radiation-induced energy metabolism dysfunction related to injury and radiation doses is largely elusive. purpose of this study investigate the early response in small intestinal tissue its correlation with pathologic lesion after total body X-ray irradiation (TBI) Tibet minipigs. Methods Results 30 minipigs were assigned into 6 groups including 5 experimental one control group animals each group. these subjected a TBI 2, 5, 8, 11, 14 Gy, respectively. Small intestine tissues...
1,2-Dichloroethane (1,2-DCE) is a pervasive environmental pollutant, and overexposure to this hazardous material causes brain edema demyelination in humans. We found that 1,2-DCE inhibits aquaporin 4 (AQP4) primary pathogenic effector of 1,2-DCE-induced animals. However, AQP4 down-regulation's link with cortex after exposure remains unclear. Thus, we exposed wild-type (WT) CD-1 mice knockout (AQP4-KO) 0, 100, 350 700 mg/m3 by inhalation for 28 days. applied label-free proteomics cell...
Copper-based catalysts have attracted increasing interest in wastewater treatment via peroxydisulfate (PDS) activation. However, little attention has been paid to developing cuprous oxide (Cu2O)-based catalysts. In this study, Cu2O–Mn3O4 nanocomposites were synthesized by a high-temperature coprecipitation method and served as PDS activators. The Cu2O–Mn3O4/PDS system exhibited extremely high removal efficiency of tetracycline hydrochloride, with initial rate constants 16 43 times that the...
Lumbar fusion is a popular surgical procedure for the treatment of degenerative lumbar disc disease; however, it may be accompanied by complications, such as cage loosening, subsidence, and non-union. This study engineered fabricated three-dimensional (3D)-printed anisotropic biomimetic trabecular porous Ti-6Al-4V interbody fusion. The evaluated structural design, manufacturability, mechanical properties, cellular functions structures compared to currently available cages. In vitro tests...
This paper presents a new method, based on mathematical morphological transform technique, for detection of power disturbances. The technique is proposed to extract features disturbances from the signals in time domain. location and duration disturbance may be detected by this technique. A variety have been simulated evaluate validity scheme.
Inclinometers are sensors used to measure the angle of tilt surface they placed upon. Unfortunately inclinometers very susceptible noise caused by their movement. Therefore, generally only suitable for measurements in static situations. This paper will investigate inclinometer signal under dynamic conditions. A number methods analysing be investigated, with aim being develop a method de-coupling error signals from gradient signal. successful removal algorithm enable errors movement sensor...