Tu-SML-03 - Field Measurement-Based Analysis of Impulsive Bridge Vibrations for Energy Harvesting

Event

EUROSENSORS 2026
2026-09-06 - 2026-09-09
Zurich

Band

Poster

Chapter

Signal Analysis, Machine Learning, Physics-Informed Machine Learning And Artificial Intelligence For Sensing

Author(s)

S. Du, M. Illguth, G. Kapteina - HafenCity University Hamburg,Hamburg (Germany)

Pages

700 - 701

DOI

10.5162/eurosensors2026/Tu-SML-03

ISBN

978-3-910600-12-6

Price

free

Abstract

This work presents a harvester-oriented analysis of field-measured bridge vibrations. Impulsive events were detected using a dual-threshold envelope method and classified by burst organization. Velocityweighted spectral analysis was used to identify harvester-relevant low-frequency content. The results show that useful mechanical input is governed more by burst morphology and low-frequency structural response than by the highest acceleration peaks. These findings support the selection of harvester bandwidth, tuning frequency, and impact-response design concepts. This work was conducted within the SBMuW project at HafenCity University Hamburg