Study on reaction force inspection system

Abstract

This paper looks at a system for inspection of 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. Linear regression analysis, Fast Fourier Transform and a neural network (NN) approach is applied to the system for probes to learn an inspector's finger judgment. We provide an input layer of a NN with fifty-five nodes corresponding to a time series of reaction forces of a probe and an output layer with three nodes 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.