TY - CONF A1 - Memmolo, V. A1 - Lugovtsova, Yevgeniya A1 - Olino, M. A1 - Prager, Jens ED - Kundu, T. ED - Reis, H. ED - Ihn, J.-B. T1 - Application of Temperature Compensation Strategies for Ultrasonic Guided Waves to Distributed Sensor Networks T2 - 49th Annual Review of Progress in Quantitative Nondestructive Evaluation N2 - Temperature compensation strategies play a key role in the implementation of guided wave based structural health monitoring approaches. The varying temperature influences the performance of the inspection system inducing false alarms or missed detection, with a consequent reduction of reliability. This paper quantitatively assesses two temperature compensation methods, namely the optimal baseline selection (OBS) and the baseline signal stretch (BSS), with the aim to extend their use to the case of distributed sensor networks (DSN). The effect of temperature separation between baseline time-traces in OBS and BSS are investigated considering multiple couples of sensors employed in the DSN. A decision strategy that uses frequent value warning to define the optimal baseline or stretching parameter is found to be effective analyzing data from two several experiments, which use different frequency analysis with either predominantly A0 mode or S0 mode data or both. The focus is given on the fact that different paths are available in a sensor network and several possible combinations of results are available. Nonetheless, introducing a frequent value warning it is possible to increase the efficiency of the OBS and BSS approach making use of fewer signal processing algorithms. In addition, the effectiveness of those approach is quantified using damage indicators as metric, which confirms that the performance of OBS and BSS quantitatively agree with predictions and also demonstrate that the use of compensation strategies improve detectability of damage with a higher reliability of the system. T2 - 2022 49th Annual Review of Progress in Quantitative Nondestructive Evaluation (QNDE 2022) CY - San Diego, CA, USA DA - 25.07.2022 KW - Ultrasound KW - Elastic waves KW - Structural Health Monitoring KW - Environmental Effects KW - Damage Detection PY - 2022 SN - 978-0-7918-8659-5 DO - https://doi.org/10.1115/QNDE2022-98534 SP - 1 PB - The American Society of Mechanical Engineers (ASME) CY - 2 Park Avenue, New York, NY 10016, USA AN - OPUS4-57074 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -