Sensor selected fusion using selection rules acquired by ES (application to inference of surface roughness in grinding system)

In grinding process, sensor fusion methods for inferring the surface roughness from online sensing information have received much attention, because it takes a long time to measure the surface roughness during process. We propose a sensor selected fusion system using reliability based on possibility. This method can select sensor information by selection rules of reliability determined by an operator in advance. However, this method cannot select sensor with consideration of the characteristic for each sensor because selection rules for all the sensors are same. In this paper, we propose an acquisition method of selection rules for each sensor using an evolutionary strategy (ES) for the sensor selected fusion system