Data Fusion of Matrix Transducer’s Signals for Evaluation of Train Hollow Axles

Abstract

In this paper results of data fusion algorithms of magnetic flux leakage signals measured by matrix type transducer for evaluation of train hollow axles are presented. First the transducer’s geometry analysis were carried out and the sensors’ array misalignment were estimated. Then the data registration process was proceeded. Finally, signal level data fusion algorithms were carried out.