Abstract
This paper introduces a new fault identification method that uses pseudomodal energies to train probabilistic neural networks (PNNs). The proposed procedure is tested on a population of 20 cylindrical shells and its performance is compared to the procedure which uses modal properties to train probabilistic neural networks. The PNNs trained using pseudomodal energies provide better classification of faults than the PNNs trained using the conventional modal properties.
Original language | English |
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Pages (from-to) | 1346-1355 |
Number of pages | 10 |
Journal | Journal of Engineering Mechanics - ASCE |
Volume | 130 |
Issue number | 11 |
DOIs | |
Publication status | Published - Nov 2004 |
Externally published | Yes |
ASJC Scopus subject areas
- Mechanics of Materials
- Mechanical Engineering