Abstract
Fuzzy neural networks fault diagnosis technology and diagnosis mode are used to diagnose cracks. It is trained with promoted BP arithmetic. The faults of cracked cantilever plate are diagnosed. Firstly the mode and frequency of numerical simulation intact plate and different cracked plates are calculated. Then five crack diagnosis indexes are calculated. Divide five indexes into three groups and create three fuzzy neural networks. The fuzzy neural networks are trained using these indexes, and diagnosis is taken to the crack in the end.
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© 2004 Springer-Verlag Berlin Heidelberg
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Zhang, J., Meng, G., Zhao, D. (2004). The Study on Crack Diagnosis Based on Fuzzy Neural Networks Using Different Indexes. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks - ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28648-6_98
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DOI: https://doi.org/10.1007/978-3-540-28648-6_98
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22843-1
Online ISBN: 978-3-540-28648-6
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