Abstract
An experiment on offshore platform about the damage of the T-tube-node is performed to determine the signal characteristics of different damage stages by monitoring the acoustic emission and analyzing K-means clustering of the acoustic emission. The acoustic emission signal is used as an input to determine the characteristic parameter of damages through correlation analysis. The method can realize the recognition of T-type pipe-node damage from the AE signal. The reference for damage monitoring of T-type pipe node and identification of different damage stages can also be provided.
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Jiang, P., Zhang, L., Li, W., Wang, X. (2017). Pattern Recognition for Acoustic Emission Signals of Offshore Platform T-Tube Damage Based on K-means Clustering. In: Shen, G., Wu, Z., Zhang, J. (eds) Advances in Acoustic Emission Technology. Springer Proceedings in Physics, vol 179. Springer, Cham. https://doi.org/10.1007/978-3-319-29052-2_5
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DOI: https://doi.org/10.1007/978-3-319-29052-2_5
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