Molten pool temperature measurement based on multi-sensor data fusion

A measuring method of molten pool temperature which is influenced by various factors is designed based on multi sensor data fusion. With the time-varying measured object, an adaptive weighted fusion algorithm for searching the minimum standard deviation is proposed here. The corresponding weight is achieved by using sensors measurements through approach of self-adaption. The statistic characteristics of estimated standard deviation are also elaborated in this paper. A comparison is made between real-time processing of adaptive weighted fusion algorithm and traditional mean algorithm. The theoretical analysis and experimental results demonstrate that the method can measure molten pool temperature effectively.