Mingshen Xu
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View article: Power Transformer Fault Diagnosis Based on Multi Class SVM and IPSO
Power Transformer Fault Diagnosis Based on Multi Class SVM and IPSO Open
This article focuses on classifying a variety of faults in power transformers with high precision, using an Improved Particle Swarm Optimization-Support Vector Machine (IPSO-SVM) system designed for fault diagnosis. The process begins with…
View article: Multi-Feature Power Load Forecasting Model Based on Hyperparameter Optimization and Ensemble Learning
Multi-Feature Power Load Forecasting Model Based on Hyperparameter Optimization and Ensemble Learning Open
Power load forecasting is crucial for the economic dispatch and safe operation of power grids, yet the fluctuating and unstable nature of power load data often limits the accuracy of traditional single-model approaches. This paper presents…
View article: Research on Bearing Fault Diagnosis Methods Based on Various Convolutional Neural Network Architectures
Research on Bearing Fault Diagnosis Methods Based on Various Convolutional Neural Network Architectures Open
Bearing fault diagnosis is essential for ensuring the reliable and stable operation of mechanical equipment. While Convolutional Neural Networks (CNNs) have demonstrated significant advancements in fault diagnosis, challenges such as varyi…
View article: A 24-Step Short-Term Power Load Forecasting Model Utilizing KOA-BiTCN-BiGRU-Attentions
A 24-Step Short-Term Power Load Forecasting Model Utilizing KOA-BiTCN-BiGRU-Attentions Open
With the global objectives of achieving a “carbon peak” and “carbon neutrality” along with the implementation of carbon reduction policies, China’s industrial structure has undergone significant adjustments, resulting in constraints on hig…
View article: Research on Bearing Fault Diagnosis Methods Based on Various Convolutional Neural Network Architectures
Research on Bearing Fault Diagnosis Methods Based on Various Convolutional Neural Network Architectures Open
Bearing fault diagnosis is crucial for ensuring the stable operation of mechanical equipment. With the continuous development of deep learning technology, Convolutional Neural Networks (CNNs) have demonstrated significant advantages in the…
View article: Study on Preparation Technology of Novel Fluorosilicone Rubber Composite Insulator
Study on Preparation Technology of Novel Fluorosilicone Rubber Composite Insulator Open
Currently, commonly used external insulation materials for power products lack operational stability compared to high-temperature vulcanized silicone rubber. The excellent hydrophobicity of PTFE provides a direction for further enhancing h…
View article: Research on the Strategy of Hosting the Olympic Games Based on Entropy-Weighted Gray Correlation Analysis
Research on the Strategy of Hosting the Olympic Games Based on Entropy-Weighted Gray Correlation Analysis Open
Regarding the issue of Olympic Games hosting strategy, first, the entropy weight method and grey correlation analysis are used to construct the overall model. Secondly, the CGE model is used to comprehensively analyze the impacts of the tw…