The influence of sensors on the cross-correlation algorithm for furnace tube leak detection

The cross-correlation algorithm is applied to locating furnace tube leak, and a set of time delay measurement based furnace tube leak detection system is built. The time delay value is calculated by the phase difference. The initial phase difference and the placed position of the sensor will affect the detection result. Experiments show that:1.the initial phase differences of the four sensors in the cross correlation algorithm based tube leak location system require consistency matching; 2.for impulse signal, the time delay measurement is independent of the sensor spacing, however, for periodic signal, only if the time delay corresponding to the sensor spacing is within half a period, the cross-correlation algorithm can accurately calculate the time delay value; 3.only when the sensor size is less than 50mm, the time delay measurement by cross-correlation algorithm is accurate.