⚡ electrical engineering

Offline accuracy is not enough: closed-loop instability and stabilisation of a wall-sensor neural estimator in opposition control

This paper demonstrates that while a neural estimator trained on wall-shear-stress data can accurately reconstruct near-wall flow quantities offline, it fails in closed-loop opposition control due to distribution shifts caused by the controller itself, necessitating spectral consistency constraints and closed-loop retraining to achieve stable, drag-reducing performance.

Giorgio Maria Cavallazzi, Miguel Pérez Cuadrado, Alfredo Pinelli2026-07-06
⚡ electrical engineering

Experimental Investigation of the Wake Flow of a Propeller-Wing Configuration in the Laminar Wind Tunnel

This study experimentally investigates the mutual aerodynamic interference between a laminar wing and three distinct propeller geometries in a wind tunnel, revealing that spanwise variations in wing loading induce lateral shearing in the propeller slipstream and asymmetric thrust distribution, effects that diminish as the advance ratio increases.

Iftekher Ahamed, Niko Konrad, Ulrich Deck, Thorsten Lutz2026-07-06
⚡ electrical engineering

Challenges and limitations of dampness mitigation techniques and strategies: A systematic literature review

Through a systematic review of 46 studies, this paper argues that while dampness mitigation techniques are technically viable, their effective implementation is hindered by significant socio-technical and governance challenges—such as financial constraints, skill gaps, and inadequate site coordination—necessitating a shift from universal technical fixes to tailored strategies supported by systemic policy and management reforms.

Joshua Ayarkwa, James Tito Ako-Adjei, Alex Acheampong, Godwin Kojo Kumi Acquah, Emmanuel Awenboro Anak2026-07-06
⚡ electrical engineering

Growing Self-Healing Skins: A Generative-AI Protocol for Cultivating Mycelium Micro-Capsule Facades in Shinjuku and Its Translational Pathway to High-Andean Bioclimatic Housing in Peru

This study demonstrates that coupling multi-objective generative AI with engineered fungal micro-capsules significantly enhances the self-healing kinetics and thermal performance of mycelium-based facades in Tokyo, establishing a scalable protocol for adapting this bioreceptive technology to improve high-Andean bioclimatic housing in Peru.

PAUL RICARDO PRUDENCIO GALVEZ2026-07-06
⚡ electrical engineering

Adaptive Insulation Fault Detection in Residential DC/AC Microgrids under Cryogenic Stress: A Transferable Dielectric Degradation Framework from Nordic Field Data to Andean and Amazonian Peru

This study proposes a transferable dielectric degradation framework that integrates Nordic cryogenic field data with an extended Debye-equivalent model to enable adaptive insulation fault detection in Peruvian residential microgrids, achieving significantly reduced detection latency and nuisance tripping across diverse high-altitude and tropical environments.

PAUL RICARDO PRUDENCIO GALVEZ2026-07-06
⚡ electrical engineering

Analysis of tropospheric noise at small spatial scales based on GNSS ZTD and Numerical Weather Prediction models

This study quantifies small-scale tropospheric noise in InSAR observations by comparing GNSS and Numerical Weather Prediction (NWP) ZTD data, revealing that residual errors depend primarily on latitude and elevation rather than NWP model resolution, and proposing a functional model to incorporate these sub-grid uncertainties into InSAR error estimates.

Adeyinka Olaseinde, Jeremy Maurer2026-07-06
⚡ electrical engineering

From Static Tables to Predictive Twins: Field-Validated Forecasting of V2G-Induced Insulation Thermal Aging in Residential Switchboards under VDE-AR-N 4100, with a Retrofit Pathway for Peru

This paper presents a field-validated multi-physics digital twin that quantifies V2G-induced insulation thermal aging in residential switchboards under German VDE-AR-N 4100 standards and translates these findings into a concrete regulatory and technical retrofit pathway for safely deploying V2G technology in Peruvian low-voltage networks.

PAUL RICARDO PRUDENCIO GALVEZ2026-07-06
⚡ electrical engineering

A predictive machine-learning and topology-optimization framework for the seismic retrofit of vulnerable housing with UHPC overlays and FRP nanocomposites: transposing the United States experience to Peru

This paper proposes an integrated framework that combines machine learning and topology optimization with UHPC and FRP-nanocomposite overlays to optimize the seismic retrofit of Peru's vulnerable informal housing, while adapting U.S. and Japanese best practices and standards to the local Peruvian context.

PAUL RICARDO PRUDENCIO GALVEZ2026-07-06