A5101618365- Railway Systems and Energy Efficiency
- Metaheuristic Optimization Algorithms Research
- Robotic Path Planning Algorithms
- UAV Applications and Optimization
- Maritime Transport Emissions and Efficiency
- Non-Destructive Testing Techniques
- Advanced Multi-Objective Optimization Algorithms
- Energy Harvesting in Wireless Networks
- Electric and Hybrid Vehicle Technologies
- Machine Fault Diagnosis Techniques
- Vehicle Routing Optimization Methods
- Evaluation Methods in Various Fields
- Electric Vehicles and Infrastructure
- Control and Dynamics of Mobile Robots
- Ultrasonics and Acoustic Wave Propagation
- Underwater Vehicles and Communication Systems
- Electrical Contact Performance and Analysis
- Indoor Air Quality and Microbial Exposure
- Evolutionary Algorithms and Applications
- IoT Networks and Protocols
- Video Surveillance and Tracking Methods
- Building Energy and Comfort Optimization
- Transportation Planning and Optimization
- Power Transformer Diagnostics and Insulation
- Distributed Control Multi-Agent Systems
Qingdao University of Technology
2024
The University of Kitakyushu
2024
Yunnan University
2021-2023
Xiangtan University
2022-2023
Yunnan Provincial Department of Education
2022
Northeast Petroleum University
2009-2015
Daqing Normal University
2009
Abstract Salp swarm algorithm (SSA) is a well-established population-based optimizer that exhibits strong exploration ability, but slow convergence and poor exploitation capability. In this paper, an endeavour made to enhance the performance of basic SSA. The new upgraded version SSA named as ‘adaptive strategy-based (ABSSA) algorithm’ proposed in paper. First, exploratory scope food source navigating commands are enriched using inertia weight boosted global best-guided mechanism. Next,...
To address the challenges of indoor mold in southern China, this study designed and constructed an innovative experimental system to investigate growth buildings under combined influence multiple factors. Using Fluent simulation (Ansys 19.0), we a suitably sized chamber realistically replicate effects factors such as temperature, humidity, air velocity on growth. After establishing fine-tuning system, conducted two preliminary experiments, successfully validating feasibility our setup....
Salp swarm algorithm (SSA) is a simple and effective bio-inspired that gaining popularity in global optimization problems. In this paper, first, based on the pinhole imaging phenomenon opposition-based learning mechanism, new strategy called pinhole-imaging-based (PIBL) proposed. Then, PIBL combined with orthogonal experimental design (OED) to propose an OPIBL mechanism helps jump out of local optimum. Second, novel adaptive conversion parameter method designed enhance balance between...
Electrified railway is one of the major users electricity in power system. The access energy storage system (ESS) effectively solves problems peak traction load (TL) shock and regenerative braking (RBE) recycling, photovoltaic (PV) improves environmental economic benefits. However, current control strategy based on electrified with ESS PV, there are still less optimal overall clipping effect TL insufficient penetration renewable sources (RES) due to low utilization lack pre-processing...
The equilibrium optimizer (EO) represents a new, physics-inspired metaheuristic optimization approach that draws inspiration from the principles governing control of volume-based mixing to achieve dynamic mass equilibrium. Despite its innovative foundation, EO exhibits certain limitations, including imbalances between exploration and exploitation, tendency local optima, susceptibility loss population diversity. To alleviate these drawbacks, this paper introduces an improved adopts three...
For the method of magnetic flux leakage testing, evaluation test results is based on detected signals. The quality affected by signals are often influenced various factors, some small defects maybe drowned noise. In this paper, a proposed wavelet denoising and empirical mode decomposition (EMD). processing measured show that good de-noising can be achieved with signal noise ratio improved.
To address the problem that current single weighting method cannot take into account subjective and objective weight information, which makes weights biased easily, influence of overlapping level indicator information on evaluation results is not considered. AHPimproved CRITIC proposed to find combination weights. The ranking TOPSIS, an approximate ideal solution, used realize comprehensive dual auxiliary service demand energy storage system applied peak shaving regenerative braking recovery...
The electrified railway integrating renewable energy sources (RES) and storage system (ESS) is the future trend of environment-friendly transportation. ESS can improve reliability RES reduce mismatch between consumption generation. However, capacity relationship affect performance indicators such as utilization penetration rate RES. Furthermore, there an interaction daily dispatch ESS, addition will deepen this interaction. Therefore, paper proposed a concept traction power supply with...
This article is mainly aims at the different shapes of corrosion defects petroleum and petrochemical industry, it based on principle magnetic flux leakage detection, then using method finite element analysis for simulation research. paper selects thickness 6 mm steel plate as research object, ANSYS software modeling analysis. It studies impact field when have shapes, same time do experimental about irregular defects, obtained data change rule.
With the rapid development of high-speed trains in China, power consumption during operation electric locomotives is increasing, which poses a serious challenge to economic and environmental protection traction supply system (TPSS). The purpose this paper address contradiction between economy TPSS by introducing new energy units such as photovoltaic combined with storage (ESS) meet its peak-shaving regenerative braking (RBE) recovery needs. At same time, carbon trading mechanism introduced...