⚡ Category

eess

1616 papers

⚡ electrical engineering

AegisFlash: Multimodal Disaster Intelligence, Sensor-Silence Anomaly Detection, and Operations Research for Real-Time Flash-Flood Response and Counterfactual Evaluation

AegisFlash is a real-time multimodal disaster intelligence platform that integrates heterogeneous data sources with a novel sensor-silence anomaly detector and operations research optimization to significantly extend flash-flood warning lead times and minimize preventable fatalities through explainable, cryptographically verified counterfactual simulations.

Sathish Kumar P A2026-09-01
⚡ electrical engineering

Corrective Action and Preventive Action of Pyro-cutter Cartridge for Cutting Nylon Cord in Aircraft Applications

This study employs a Corrective Action and Preventive Action (CAPA) methodology to analyze and address critical failure modes, such as surface cracks and forcing pin malfunctions, in pyro-cutter cartridges used for aircraft safety systems, ultimately aiming to enhance design reliability and prevent recurrence in future production batches.

B A Parate, S C Jadhav, A K Singh2026-08-31
⚡ electrical engineering

Low-Complexity Polynomial Regression Framework for Environmental Drift Compensation in MOX Gas Sensing Systems

This study proposes a low-complexity polynomial regression framework that effectively compensates for temperature and humidity-induced drift in MOX gas sensors, demonstrating superior accuracy and stability compared to linear models across three commercial sensor types.

Abdulnasser Nabil Abdullah, Kamarulzaman Kamarudin, Ahmad Syamil, Md Ashequl Islam, Syed Muhammad Mamduh, Ammar Zakaria2026-08-31
⚡ electrical engineering

Cost, volumetric energy density, and fast-charging projections of Na-ion and Li-ion batteries from a European perspective

This study employs a multi-objective optimization framework to demonstrate that while European-manufactured Na-ion batteries can achieve cost parity with LiFePO4 batteries, they currently lag in volumetric energy density and charging speed, necessitating further material cost reductions or significant lithium price increases to become competitively superior, all while facing an 18–27% cost premium for domestic production compared to Chinese imports.

Jonas Sprengelmeyer, Soeren Dreyer, Marcel Weil, Werner Bauer, Helmut Ehrenberg2026-08-31
⚡ electrical engineering

Circulatory Load-sharing Redundancy for Resource Single Point of Failure in Automated Manufacturing Systems Using Petri Nets

This paper proposes a Petri net-based circular load-sharing redundancy technique that enhances the resilience of automated manufacturing systems to single resource failures by dynamically redistributing tasks among neighboring resources in a circle, thereby achieving high recovery efficiency without requiring additional backup resources or operational loss.

Ebrahim A. Alzalab, Adeeb A. Ahmed, Haithm M. Al-Gunid, Sadiq Ghalib2026-08-31
⚡ electrical engineering

Techno-economic Assessment and Scenario-based Optimization of Lightning Protection Schemes in High-voltage Substations Using ATP- EMTP

This paper presents a techno-economic framework combining ATP-EMTP transient simulations with the Korsunsky soil ionization model and Life Cycle Cost analysis to identify a 5-unit ZnO surge arrester configuration as the optimal lightning protection scheme for high-voltage substations, achieving superior overvoltage suppression and a net present value of over $894,000 in risk mitigation.

Tuong NGUYEN2026-08-31
⚡ electrical engineering

From Research Hubs to Innovation Partners: The Hi-Acts Platform Model for Co-Creation and Societal Impact

This paper introduces the Hi-Acts platform, a collaborative model that transforms German accelerator facilities from isolated research hubs into accessible innovation partners by coordinating their capabilities to bridge the gap between fundamental research and industrial applications, thereby accelerating societal impact through co-creation.

Sonia Utermann, Jakob Peters2026-08-31
⚡ electrical engineering

A Comparative Machine Learning (ML) Metaheuristic Framework for Bolt Pitch Optimization under IS 800, Eurocode 3, and AISC

This study presents a machine learning and metaheuristic optimization framework that utilizes Random Forest and Genetic Algorithms to determine optimal bolt pitch distances for steel connections, achieving high predictive accuracy and validating design efficiency across IS 800, Eurocode 3, and AISC standards.

Sajjan Wagh, Sachin Patil, Pravin Gunaware, Atul Khatri, Sushilkumar Magade2026-08-31