Wei Wang
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Comprehensive Performance Regulation and Characterization of Polypropylene/Elastomer Composite Insulation Materials Open
Polypropylene (PP) represents an important development direction for recyclable cable insulation materials. This paper investigates the synergistic improvement mechanism of the mechanical and electrical properties of PP. The effect of elas…
Seamless Switching Technology for Low Voltage Charging in 800V Electric Vehicle Systems Open
In response to the high voltage stress issue in the secondary components of the DC/DC converter caused by increasing the electric vehicle charging system from 400V to 800V, a low-voltage seamless charging switching technique is proposed, a…
Does Urban Polycentric Structure Improve Carbon Emission Efficiency? A Spatial Panel Data Analysis of 279 Cities in China from 2012 to 2020 Open
Urban spatial structure, shaped by human intervention in the natural environment, impacts the functional space and socioeconomic efficiency of cities. Against this backdrop, this study investigates the linkage between urban spatial structu…
Professional Competency Requirements for Maintenance and Operation of Power Battery Systems Open
The power battery system is one of the high-risk components for new energy vehicles, and standardized operation and maintenance is one of the effective measures to improve the safety of new energy vehicles. The operation and maintenance of…
The Influence and Compensation of Microwave Holographic Measurement Errors on Antenna Measurement Accuracy Open
Microwave holographic measurement technology is a common method used in antenna measurement. This method has high measurement efficiency and high precision. To evaluate and enhance the antenna’s performance, it is crucial to precisely dete…
Optimization and classification control of permanent basic farmland based on quality classification Open
Permanent basic farmland plays an important role in stabilizing agricultural production and ensuring national food security. Therefore, it is necessary to reasonably delineate and control permanent basic farmland. This article is based on …
View article: FastPFM: a multi-scale ship detection algorithm for complex scenes based on SAR images
FastPFM: a multi-scale ship detection algorithm for complex scenes based on SAR images Open
Synthetic Aperture Radar (SAR) is renowned for its all-weather capabilities, exceptional penetration, and high-resolution imaging, making SAR-based ship detection crucial for maritime surveillance and sea rescue operations. However, variou…
View article: Anti-Freezing Study of High-Level Water-Collecting Natural Draft Wet-Cooling Tower Based on Its Water Temperature Distribution Characteristics
Anti-Freezing Study of High-Level Water-Collecting Natural Draft Wet-Cooling Tower Based on Its Water Temperature Distribution Characteristics Open
Thermal power units play a crucial role in the deep peak regulation of power generation. During deep peak regulation, the load of the unit changes significantly, causing fluctuations in the inlet water temperature of the cooling tower and …
A rolling bearing fault diagnosis technique based on fined-grained multi-scale symbolic entropy and whale optimization algorithm-MSVM Open
As a critical and fragile rotary supporting component in mechanical equipment, fault diagnosis of rolling bearing has been a hot issue. A rolling bearing fault diagnosis technique based on fined-grained multi-scale symbolic entropy and wha…
Diesel-natural gas dual fuel injection strategy effects on engine ignition delay and cylinder pressure evolution Open
Diesel pilot high-pressure direct injection (HPDI) natural gas technology has been noticed and applied in medium and heavy-duty engines due to its outstanding economy and power performance. However, the combustion of two kinds of fuels wil…
A rolling bearing fault diagnosis technique based on fined-grained multi-scale symbolic entropy and whale optimization algorithm-MSVM Open
As a critical and fragile rotary supporting component in mechanical equipment, fault diagnosis of rolling bearing has been a hot issue. A rolling bearing fault diagnosis technique based on fined-grained multi-scale symbolic entropy and wha…
Two-Stage Robust Optimization for Prosumers Considering Uncertainties from Sustainable Energy of Wind Power Generation and Load Demand Based on Nested C&CG Algorithm Open
This paper develops a two-stage robust optimization (TSRO) model for prosumers considering multiple uncertainties from the sustainable energy of wind power generation and load demand and extends the existing nested column-and-constraint ge…
Optimization of 25 µm gold wire lead bonding process parameters based on orthogonal test Open
The gold wire lead bonding process is a key technology to realize the electrical connection between the chip and the external control circuit to be completed. This paper introduces the basic concept of lead bonding technology and analyzes …
Study on heat transfer characteristics of air-cooled dry bottom ash removal system Open
This paper develops a numerical model to describe the bottom ash cooling process based on an actual power plant. By means of computational fluid dynamics, the influence of adjusting the operating parameters of the dry bottom ash removal sy…
An Evaluation Method of Equipment Development Priority Combining Subjective and Objective Open
This article proposes a Subjective And Objective Evaluation (SAOE) method for equipment development priorities. By establishing the evaluation index system of equipment development priority evaluation, using fuzzy analytic hierarchy proces…
An improved neural network model for battery smarter state-of-charge estimation of energy-transportation system Open
The safety and reliability of battery storage systems are critical to the mass roll-out of electrified transportation and new energy generation. To achieve safe management and optimal control of batteries, the state of charge (SOC) is one …
View article: Short-Term Interval Prediction of Wind Power Based on KELM and a Universal Tabu Search Algorithm
Short-Term Interval Prediction of Wind Power Based on KELM and a Universal Tabu Search Algorithm Open
Installed wind power has significantly grown in recent years to synchronize with the ever-increasing demand for environment-friendly and renewable energy. However, wind energy has significant uncertainty or random futures, and will give ri…
An Improved Data-Efficiency Algorithm Based on Combining Isolation Forest and Mean Shift for Anomaly Data Filtering in Wind Power Curve Open
A wind turbine working in a harsh environment is prone to generate abnormal data. An efficient algorithm based on the combination of an Isolation Forest (I-Forest) and a mean-shift algorithm is proposed for data cleaning in wind power curv…
Online Degradation Assessment of Shore Bridge Hoisting Gearbox Based on Improved Symbolic Sequence Entropy and Logistic Regression Model Open
Aimed at the problem of degradation assessment of shore bridge hoisting gearbox, an online evaluation method of degradation state based on improved symbol sequence entropy (O_ISSE) and logistic regression is proposed. First, a threshold fa…