Research of EMI Structural Health Monitoring Based on BP Neural Networks
2012 ◽
Vol 188
◽
pp. 231-235
Keyword(s):
Based on the coupling characteristic of piezoelectric ceramics (PZT) and electro-mechanical, impedance changes were measured by the impedance analyzer. Aluminum plate’s impedance response under different load conditions was analyzed with electromechanical impedance technique. BP neural networks were established to identify the structural damage status and the RMSDR was calculated as neural network input data, then the networks was trained and validated. Experiment results show that the trained network can successfully identify the structural load state.
2021 ◽
Vol 152
◽
pp. 107467
2009 ◽
Vol 79-82
◽
pp. 35-38
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2011 ◽
Vol 243-249
◽
pp. 5475-5480
2011 ◽
Vol 230-232
◽
pp. 587-591
2016 ◽
Vol 28
(7)
◽
pp. 837-850
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