Application of Information Fusion Techniques on Fault Detection and Diagnosis

Abstract

In order to improve the reliability of fault detection and diagnosis (FDD) for material test machine, it is important to make full use of the information from being test material knowledge and material measurements. This paper presents an application of information fusion in FDD. In the proposed method, the fusion adopts multiple FDD strategies aiming at angle signals and torque signals etc. of the system, then the results of these strategies are fused. Through regression analysis on the fused data, the information fusion techniques are showed to be practical and effective