Abstract
Manufacturing systems become complex more and more for adapting to various environmental conditions. In these systems, sensor fusion methods for estimating states of a system from multiple sensor information have received much attention. Also, it is necessary to select the sensor infromation for adapting to various situation flexibly. In these days, various methods of fusing multiple information have been proposed so far, but these methods don't select the sensor information by the reliability of each sensor. In this paper, we propose a sensor selected fusion system using a recurrent neural network. The sensor selection method is based on the production system considering with the reliability which expressed by the possibility measure. The effectiveness of the proposed method is shown through inferring the surface roughness in the grinding process.
