⚡ Category

eess

662 papers

⚡ electrical engineering

Force–vibration coupling and vibration suppression in band sawing using bio-inspired continuous curved tooth geometry​

This study demonstrates that implementing bio-inspired continuous curved tooth geometry in band sawing effectively suppresses cutting vibrations by redistributing stress and smoothing force fluctuations, thereby establishing a direct link between tooth design and excitation-regulated dynamic stability without requiring additional structural stiffness or active control.

Hubiao Hubiao Wang, Xun Liu, Tianchen Shen, Junjiang Yang, Youzhi Ding2026-06-30
⚡ electrical engineering

Salmona: A Multi-Domain Architecture for Traceable Medical Billing Review in Colombian Healthcare

This paper presents the design and architecture of Salmona, a rule-grounded, multi-domain audit system for Colombian medical billing that ensures traceability and human governance by decomposing verification into administrative, clinical, and financial layers while adhering to local regulatory frameworks.

Katherine Monsalve, Natalia Castaño-Villegas, Fiorella Ramirez, Elmer Raúl Escandón, Jose Zea, Laura Velásquez2026-06-30
⚡ electrical engineering

Interface-Aware Sparse Data Placement for Extended Physics-Informed Neural Networks Applied to Computational Fluid Dynamics and Fluid–Structure Interaction

This paper introduces SPHINX, an interface-aware data placement strategy that significantly enhances the accuracy and stability of Extended Physics-Informed Neural Networks (XPINNs) for reconstructing fluid flow fields by strategically allocating sparse measurement points to subdomain overlap regions, thereby reducing reconstruction errors by up to 95% across diverse flow regimes.

Hamze El Halabi, Yusuke Takahashi2026-06-30
⚡ electrical engineering

Research on the life assessment of the insulating rod of a fast mechanical switch based on the Weibull distribution and the firefly algorithm

This study proposes a hybrid life assessment method for fast mechanical switch insulating rods that integrates multi-physics finite element modeling, stress-life analysis, and firefly algorithm-optimized three-parameter Weibull distribution to overcome the limitations of pure simulation and testing, thereby enabling reliable reliability prediction under various operating conditions.

Yang Kuangbiao, Li Guoli, Sun Zehui, Xu Jiazi, Ding Shuo2026-06-30
⚡ electrical engineering

Analysis of Factors Influencing Electrical Fires in Industrial Buildings Using the Fuzzy DEMATEL-ISM-MICMAC Method

This study employs a hybrid Fuzzy DEMATEL-ISM-MICMAC methodology to analyze 20 risk factors across equipment, personnel, environment, and management dimensions, revealing that inadequate safety regulations are the core root cause of electrical fires in industrial buildings while short-circuit faults act as direct triggers, thereby providing a scientific basis for targeted prevention strategies.

songlin jiang, song hao zhu, nie DAN, Guo jun CHEN2026-06-30
⚡ electrical engineering

Flexibility incentives for electric vehicles determine whether vehicle-to-grid helps or harms decarbonised power systems at scale

This study demonstrates that while decentralized EV flexibility incentives can support decarbonized power systems, most common time-of-use rates fail to maximize benefits or may even cause harm, with only real-time pricing combined with discharging limits effectively lowering system costs through vehicle-to-grid integration.

Adrien Mellot, Christian Moretti, Niccolò Moro, Jared Garrison, Siobhan Powell2026-06-30
⚡ electrical engineering

Active Learning-Driven Surrogate Modeling for Fatigue LifePrediction of LPBF Hastelloy-X Using Defect-Informed FiniteElement Analysis

This paper presents a hybrid framework that integrates defect-informed finite element analysis with active learning-driven Gaussian process surrogate modeling to accurately and efficiently predict the fatigue life of LPBF Hastelloy-X under various conditions, achieving high fidelity with over 95% reduction in experimental data requirements.

Chandrashekhar Pilgar, G Gangaraju2026-06-30
⚡ electrical engineering

Slip-Aware Wheel Odometry for 4-Wheeled Skid-Steer Mobile Robots Using a Compact 1-D Convolutional Neural Network

This paper introduces SlipOdometryNet, a compact 1-D convolutional neural network that achieves accurate, IMU-free slip-aware odometry for skid-steer robots by significantly reducing trajectory errors across varying friction conditions, outperforming both traditional kinematic baselines and much larger Transformer models in real-time deployment.

Prasad Prabhu, Vincent Linish Dsouza2026-06-30