Reaction force inspection system using wavelet transforms and neural networks

Looks at a system for inspection of the quality of a probe´s reaction force characteristics. This system, until now considered difficult to realize, automates the inspection method utilizing the touching of an inspector´s finger. Wavelet transformation and a neural network (NN) approach are applied to the system for probes to learn an inspector´s finger judgment. We provide an input layer of a NN with thirty-three nodes corresponding to a time series of reaction forces of a probe and an output layer with one node corresponding to a judgment; being one of non-defective, defective, or unable to judge. From experimental results, the effectiveness of the system has been clarified