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Unsupervised and supervised machine learning techniques for slamming classification from SHM data
Citation
Dessi, D and Shabani, B and Ali-Lavroff, J and Holloway, DS and Penev, S and Thomas, G and Sanchez-Alayo, D, Unsupervised and supervised machine learning techniques for slamming classification from SHM data, Proceedings of the 9th International Conference on HYDROELASTICITY IN MARINE TECHNOLOGY Rome, Italy, July 10th -13th, 2022, 10-13 July 2022, CNR-INM Institute of Marine Engineering, pp. 132-132. ISBN 9788876170546 (2022) [Refereed Conference Paper]
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Official URL: https://www.hyel2022.org/
Abstract
In this paper, the problem of identifying slamming impacts for monohulls and
catamarans is addressed by using Machine Learning techniques. To highlight differences
and similarities, two test cases, separately dealt with in previous work [1]-[2], are here
considered: (i) the classification of slamming events based on clustering analysis from
data collected on board a fast catamaran during full-scale trials, and (ii) the classification
of different types of slams on a fast monohull from data collected from an experimental
campaign carried out in the towing tank on an elastic segmented model. The analysis
shows the generality and versatility of the ML approach to slamming identification, as well
as its robustness in terms of accuracy
Item Details
| Item Type: | Refereed Conference Paper |
|---|---|
| Keywords: | Machine learning, slamming, high-speed craft |
| Research Division: | Engineering |
| Research Group: | Mechanical engineering |
| Research Field: | Mechanical engineering not elsewhere classified |
| Objective Division: | Transport |
| Objective Group: | Water transport |
| Objective Field: | International passenger water transport (e.g. passenger ships) |
| UTAS Author: | Shabani, B (Dr Babak Shabani) |
| UTAS Author: | Ali-Lavroff, J (Dr Jason Ali-Lavroff) |
| UTAS Author: | Holloway, DS (Associate Professor Damien Holloway) |
| ID Code: | 155498 |
| Year Published: | 2022 |
| Funding Support: | Australian Research Council (LP170100555) |
| Deposited By: | Engineering |
| Deposited On: | 2023-02-23 |
| Last Modified: | 2023-03-08 |
| Downloads: | 0 |
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