The award was granted for the paper “Addressing Time Variance in Measurement Systems with Bayesian Model Updating”, published by Dr.-Ing. Jan-Hauke Bartels together with Prof. Dr.-Ing. Steffen Marx within Collaborative Research Centre 1463, subproject C01. The article appeared in Sensors and Materials (Vol. 37, No. 3(2), 2025, pp. 921–942). https://doi.org/10.18494/SAM5393.
The award-winning paper focuses on the investigation of time-dependent changes in measurement systems using laser triangulation sensors as a case study. The aim of the study was to systematically identify and compensate for aging effects and their influence on measurement accuracy. To this end, an approach based on Bayesian model updating was developed. In more than 140 subtests, both random and systematic sources of measurement errors were quantified, including effects caused by cable length, sensor positioning, and temperature variations. The results show that time-dependent drift processes, particularly in the early stages of aging, can be captured precisely and compensated experimentally with high accuracy. Thus, the work makes an important contribution to the development of reliable and durable monitoring systems in the field of Structural Health Monitoring.
Commenting on the award, Jan-Hauke Bartels said: “I am deeply honored to receive the distinguished S&M Young Researcher Paper Award 2025 from Sensors and Materials. My sincere thanks go to my co-author and PhD supervisor, Prof. Dr.-Ing. Steffen Marx, for his continuous support and invaluable academic guidance throughout this work.”
In his future research, Jan-Hauke Bartels will continue to focus on uncertainty quantification in measurement systems, as well as on robust sensing concepts and related materials, to further advance reliable methods for Structural Health Monitoring.