2004 | OriginalPaper | Chapter
The Study on Crack Diagnosis Based on Fuzzy Neural Networks Using Different Indexes
Authors : Jingfen Zhang, Guang Meng, Deyou Zhao
Published in: Advances in Neural Networks - ISNN 2004
Publisher: Springer Berlin Heidelberg
Included in: Professional Book Archive
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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.