Fault classification in cylinders using multi-layer perceptrons, support vector machines and Gaussian mixture models
Gaussian mixture models (GMM) and support vector machines (SVM) are introduced to classify faults in a population of cylindrical shells. The proposed procedures are tested on a population of 20 cylindrical shells and their performance is compared to the procedure, which uses multi-layer perceptrons...
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| Principais autores: | , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Institute of Fundamental Technological Research Polish Academy of Sciences
2022-08-01
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| Serija: | Computer Assisted Methods in Engineering and Science |
| Online dostop: | https://cames.ippt.pan.pl/index.php/cames/article/view/833 |
| Oznake: |
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