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Fault Classification Using Pseudomodal Energies and Probabilistic Neural Networks.
- Source :
- Journal of Engineering Mechanics; Nov2004, Vol. 130 Issue 11, p1346-1355, 10p
- Publication Year :
- 2004
-
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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 07339399
- Volume :
- 130
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- Journal of Engineering Mechanics
- Publication Type :
- Academic Journal
- Accession number :
- 14739911
- Full Text :
- https://doi.org/10.1061/(ASCE)0733-9399(2004)130:11(1346)