In order to make full use of redundant, complementary and uncertain information and thus assess the structural health states from a structural health monitoring system, a new damage identification method by integrating with rough set and revised counter-propagation network (RCPN) was proposed in this paper. In this method, rough set is used to deal with data so as to reduce the uncertainties and the spatial dimensions of data firstly; then the current CPN model is revised so as to improve the capabilities of processing uncertainties and classification, and the RCPN model is used to identify damage. To validate the proposed method, single- and multi-damage patterns from one numerical frame were identified finally, and some important factors, such as measurement noise, neural network models and data processing technologies, were investigated with emphasis. The results show that the proposed method can not only reduce the spatial dimension of data, but also have preferable damage identification accuracy and robustness.
JIANG Shao-Fei;LIN Jie.
Structural damage identification based on rough set and revised counter-propagation network[J]. Journal of Vibration and Shock, 2011, 30(6): 1-4
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