Analysis of lightning arrester operating current based on multidimensional neural network for transmission lines

Article Computer Science, Artificial Intelligence

KRR-CNN: kernels redundancy reduction in convolutional neural networks

El Houssaine Hssayni et al.

Summary: KRR-CNN, a new optimization model for reducing kernels redundancy in CNN, utilizes an evolutionary genetic algorithm to efficiently reduce redundant kernels and enhance classification performance.

NEURAL COMPUTING & APPLICATIONS (2022)

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Article Computer Science, Artificial Intelligence

Analysis of transmission line icing prediction based on CNN and data mining technology

Lixue Li et al.

Summary: Transmission lines are vulnerable to icing, which poses a serious threat to the safe operation of power grids. This paper identifies the factors influencing wire icing through the study of icing mechanism and constructs a quantitative analysis model based on ice cover data preprocessing on the Spark platform.

SOFT COMPUTING (2022)

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Article Computer Science, Information Systems

AI-based MOA fault diagnosis mechanism in wireless networks

Tao He et al.

Summary: The metal oxide arrester (MOA) is a device used to limit overvoltage and protect electric power equipment. Wireless online monitoring and fault diagnosis methods can improve its flexibility, real-time performance, and accuracy.

WIRELESS NETWORKS (2022)

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Article Engineering, Electrical & Electronic

Optimization of overhead transmission lines insulation and grounding costs with respect to backflashover rate

P. M. De Oliveira-De Jesus et al.

Summary: This paper explores the optimization of transmission insulation and grounding based on different BFR evaluation procedures, comparing the results of traditional and modern evaluation methods. The study reveals that the stochastic simulation method leads to lower costs compared to the IEEE and EPRI methods.

ELECTRICAL ENGINEERING (2021)

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Article Computer Science, Artificial Intelligence

Matching biomedical ontologies through Compact Differential Evolution algorithm with compact adaption schemes on control parameters

Xingsi Xue et al.

Summary: Biomedical ontology is a unified model for describing biomedical knowledge and the semantic links between heterogeneous biomedical concepts are crucial for interoperability. A novel Adaptive Compact Differential Evolution algorithm (ACDE) has been proposed to effectively solve the biomedical ontology matching problem, outperforming other algorithms in terms of performance.

NEUROCOMPUTING (2021)

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Article Geosciences, Multidisciplinary

Risk analysis of tripping accidents of power grid caused by typical natural hazards based on FTA-BN model

Haifeng Bian et al.

Summary: With the expansion of the power grid, the requirements for transmission reliability are increasing. This study proposes a risk analysis method to probabilistically analyze transmission line tripping accidents caused by various natural hazards, providing technical support for accident prevention, handling, and recovery in the power grid.

NATURAL HAZARDS (2021)

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Article Computer Science, Interdisciplinary Applications

Reliability-based control co-design of horizontal axis wind turbines

Tonghui Cui et al.

Summary: Wind energy is one of the fastest-growing energy sources due to its cleanness, sustainability, and cost-effectiveness. Recent studies in wind turbine design have utilized multidisciplinary design optimization strategies and explicitly considered various sources of uncertainty to increase reliability and robustness. The integration of control system co-design and reliability considerations in wind turbine design has led to early identification of optimal designs that benefit controller design and maintenance.

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2021)

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Article Computer Science, Artificial Intelligence