Abstract
The guided-wave-based damage detection methodology is a well-established branch of Structural Health Monitoring. There are, however, many different approaches to processing and interpretation of signals acquired using guided waves. This paper presents the results of the SYPIN project in which a large database acquired in a diverse set of experiments was assembled. The experiments included static and variable environmental conditions, composite and metallic specimens of simple and complex geometries. The set includes, in particular, results of experiments on real-life aircraft specimens. This dataset was then used to benchmark several damage detection and quantification methodologies, including various classifiers and feature extraction methods. The performance of the methods is evaluated in a series of experiments, including knowledge transfer between different specimens. The paper presents the results of this research and provides a brief description of the dataset, which is made available for the scientific community’s use.
Supported by the National Centre for Research and Development in Poland under the research project no. LIDER/3/0005/L-9/17/NCBR/2018.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Antoni, J.: A critical overview of the “Filterbank-Feature-Decision’’ methodology in machine condition monitoring. Acoust. Aust. 49(2), 177–184 (2021)
Dziendzikowski, M., Heesch, M., Gorski, J., Dragan, K., Dworakowski, Z.: Application of PZT ceramic sensors for composite structure monitoring using harmonic excitation signals and bayesian classification approach. Materials 14(19), 5468 (2021). https://doi.org/10.3390/ma14195468
Moll, J., et al.: Open guided waves - online platform for ultrasonic guided wave measurements. Struct. Health Monit. 18(5–6), 1903–1914 (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Dworakowski, Z., Heesch, M., Gorski, J., Dziendzikowski, M. (2023). Guided Waves Benchmark Dataset and Classifier Comparison. In: Rizzo, P., Milazzo, A. (eds) European Workshop on Structural Health Monitoring. EWSHM 2022. Lecture Notes in Civil Engineering, vol 270. Springer, Cham. https://doi.org/10.1007/978-3-031-07322-9_8
Download citation
DOI: https://doi.org/10.1007/978-3-031-07322-9_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-07321-2
Online ISBN: 978-3-031-07322-9
eBook Packages: EngineeringEngineering (R0)