Damage identification by using soft-computing techniques
نویسندگان
چکیده
This paper describes a soft computing approach to solve the damage identification problem using Case-Based Reasoning (CBR) to obtain an initial diagnostic exploiting the outcomes given in known structure models simulations and the data acquired by the sensors in operating conditions once the system has started. It creates an incremental database (since a new experience is retained each time a problem has been solved) in order to use in diagnosing future situations by analogy. Self-Organizing Maps are presented as a classification tool and Wavelet Transform as a tool to extract principal features of a signal. A numerical example of a cantilever truss structure is shown with its results. Conclusions are presented with the emphasis on advantages of using knowledge-based and soft-computing techniques.
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