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Fault diagnosis to structural crack based on FNN and Data Fusion

ZHANG Jing-fen,ZHAO De-you(School of Naval Architecture,Dalian university of Technology,Dalian116024,China)  
The fault of aluminum crack is diagnosed based on Fuzzy Neural Networks(FNN)and Data Fu - sion(DF).A diagnosis feature of mode slope varying ratio of plate structure in two directions is gotten from that of the beam structure.Compared with diagnosis results of both FNN and FNNDF,it is proved that crack diagnosis based on FNNDF could satisfy the precision of crack detection for location and length.Meanwhile,it is proved to be correct to diagnose structural crack with the mode slope varying ratio.
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