Abstract
This paper presents a design of neural network for automatically diagnosing eccentric cause in rolling machine. An applicable structure of neural network for diagnosing eccentric cause is designed. A generating method of input and output data relating each type of eccentricity is proposed for learning neural network. The suggested neural network worked within the specified error range through learning input and output data for learning. According to computer simulation, the suggested neural network outputs stably desired eccentricity diagnosis results for input data.
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