- Machine Fault Diagnosis Techniques
- Heat Transfer and Optimization
- Fault Detection and Control Systems
- Traffic Prediction and Management Techniques
- Gear and Bearing Dynamics Analysis
- Energy Load and Power Forecasting
- Turbomachinery Performance and Optimization
- Silicon Carbide Semiconductor Technologies
- Electric and Hybrid Vehicle Technologies
- Heat Transfer Mechanisms
- Autonomous Vehicle Technology and Safety
- Advanced Battery Technologies Research
- Traffic control and management
- Mechanical Behavior of Composites
- Phosphorus and nutrient management
- Fuel Cells and Related Materials
- Titanium Alloys Microstructure and Properties
- Enzyme Production and Characterization
- Nanofluid Flow and Heat Transfer
- Video Surveillance and Tracking Methods
- AI and Multimedia in Education
- Power System Reliability and Maintenance
- Intermetallics and Advanced Alloy Properties
- Advanced Algorithms and Applications
- Advanced Neural Network Applications
Hubei University of Arts and Science
2014-2025
Yangtze University
2021-2024
Xiamen University of Technology
2021-2023
University of Nottingham Ningbo China
2022-2023
Jiyang College of Zhejiang A&F University
2022
Zhejiang A & F University
2022
Zhejiang University
2016-2021
Shanghai Academy of Agricultural Sciences
2021
Northwest Normal University
2021
State Key Laboratory of Vehicle NVH and Safety Technology
2017-2020
It is widely accepted that conventional boost algorithms are of low efficiency and accuracy in dealing with big data collected from wind turbine operations. To address this issue, paper devoted to the application an adaptive LightGBM method for fault detections. end, realization feature selection detection firstly achieved by utilizing maximum information coefficient analyze correlation among features supervisory control acquisition (SCADA) turbines. After that, a performance evaluation...
This paper presents an integrated platoon control framework for heterogeneous vehicles on curved roads with varying slopes, aerodynamic drag, and wireless communication delays. First, a linear vehicle model decoupled longitudinal lateral dynamics is built based nonlinear feedback linearization arc-length parametric transformation of arbitrary road. The external disturbances are also considered, including the up-down road wind equivalent time-delays caused by delay discrete data in onboard...
Background Exceeding 50% tuna catches are regarded as byproducts in the production of cans. Given high amount and their environmental effects induced by disposal elimination, valorization nutritional ingredients from these by-products receives increasing attention. Objective This study was to identify angiotensin-I-converting enzyme (ACE) inhibitory (ACEi) peptides roe hydrolysate Skipjack ( Katsuwonus pelamis ) evaluate protection functions on H 2 O -induced human umbilical vein endothelial...
Efficient heat dissipation remains a critical challenge in the research and development of automotive permanent magnet synchronous motors. In this study, Tesla valve cooling channel is innovatively designed, corresponding flow model established using computational fluid dynamics (CFD) simulations. The effects spacing between adjacent valves, number stages, inlet velocities on motor temperature rise pressure drop within are analyzed under varying directions. A comprehensive evaluation 25...
Ultra-high performance liquid chromatography-quadrupole-time of flight tandem mass spectrometry (UHPLC-Q-TOF-MS/MS) was used to study the diversity tea polysaccharides and dynamic changes in physicochemical indexes samples. FT-IR spectra free radical scavenging ability polysaccharides, during pile-fermentation post-fermented tea, were analyzed. The results showed that 23 saccharide co mponents identified: these belonged 11 monosaccharides, 5 oligosaccharides, 6 derivatives monosaccharides...
Purpose The purpose of this study is to propose a precise and standardized strategy for numerically simulating vehicle aerodynamics. Design/methodology/approach Error sources in computational fluid dynamics were analyzed. Additionally, controllable experiential discretization errors, which significantly influence the calculated results, are expounded upon. Considering airflow mechanism around vehicle, efficiency accuracy each solution compared analyzed through numerous cases. Finally, most...
Wind turbines (WTs) generally comprise several complex and interconnected systems, such as hub, converter, gearbox, generator, yaw system, pitch hydraulic system control system,integration auxiliary system. Moreover, fault diagnosis plays an important role in ensuring WT safety. In the past decades, machine learning (ML) has showed a powerful capability detection of WTs, thereby remarkably reducing equipment downtime minimizing financial losses. This study provides comprehensive review...
Aiming at the problem of class imbalance in wind turbine blade bolts operation-monitoring dataset, a fault detection method for based on Gaussian Mixture Model-Synthetic Minority Oversampling Technique-Gaussian Model (GSG) combined with Cost-Sensitive LightGBM (CS-LightGBM) was proposed. Since it is difficult to obtain samples bolts, GSG oversampling constructed increase bolt dataset. The obtains optimal number clusters through BIC criterion, and uses GMM optimally cluster According density...
Structure determination of macromolecules often depends on phase improvement and extension by use real-space averaging electron density related noncrystallographic symmetry. Although techniques for such procedures have been described previously [Bricogne (1976). Acta Cryst. A 32 , 832–847; Johnson (1978). B 34 576–577], modern computer architecture experience with these methods suggested changes improvements. Two unit cells are considered: (1) the p -cell corresponding to actual crystal...
In our previous work, a glucose-fipronil (GTF) conjugate at the C-1 position was synthesized via click chemistry and glucose moiety converted non-phloem-mobile insecticide fipronil into moderately phloem-mobile insecticide. present paper, introduced C-2, C-3, C-4, C-6 positions of to obtain four new conjugates evaluate effects different isomers on phloem mobility. The mobility synthetic GTF tested using Ricinus seedling system. results confirmed that conjugation has significant influence conjugates.
Accurate localization is a crucial step for intelligent vehicles (IVs). And vision-based methods are promising due to its good accuracy and low cost. However, usually not robust enough the errors of matching similar road scenarios. In this paper, we proposed visual map-based method, called multi-view site (MVSM). We using two camera views (i.e., downward-view front-view) construct map. The map consists serial nodes. Each node encodes features road, 2D structure, poses vehicle. Based on...
Abstract 7,8‐dihydroxyflavone (7,8‐DHF) is a biologically active flavone with various physiological activities, including neuroprotection, anti‐inflammation, and weight loss. Previous studies have found that the efflux protein P‐glycoprotein (P‐gp) significantly affects transepithelial transport of 7,8‐DHF in intestine, resulting its low oral bioavailability. Based on this, this study, Caco‐2 monolayer cell model was used to investigate 14 dietary plant flavonoids as potential P‐gp...
The primary objective of an energy management strategy is to achieve optimal fuel economy through proper distribution. adoption a fuzzy hindered due different reasons, such as uncertainties surrounding its adaptability and sustainability compared conventional control methods. To address this issue, based on long short-term memory neural network driving pattern recognition proposed. time-frequency characteristics vehicle speed are obtained using the Hilbert–Huang transform method....
The number of normal samples wind turbine generators is much larger than the fault samples. To solve problem imbalanced classification in generator detection, a cost-sensitive extremely randomized trees (CS-ERT) algorithm proposed this paper, which learning method introduced into an (ERT) algorithm. Based on misclassification cost and class distribution, gain (MCG) as score measure CS-ERT model growth process to improve accuracy minority classes. Hilbert-Schmidt independence criterion lasso...
It is difficult to optimize the fault model parameters when Extreme Random Forest used detect electric pitch system of double-fed wind turbine generator set. Therefore, which was optimized by improved grey wolf algorithm (IGWO-ERF) proposed solve problems mentioned above. First, IGWO-ERF imports Cosine nonlinearize linearly changing convergence factor α balance global exploration and local exploitation capabilities algorithm. Then, in later stage iteration, generates its mirror based on lens...