Authors:
Tianzhi Li; Gang Liu; Liangliang Zhang;
Abstract:
It is essential to evaluate the health condition of structure and sensors in structural health monitoring (SHM) systems. Compared with the identification of structural damage, only a few papers nvestigated sensor fault detection in civil engineering. This paper presents a model-based sensor fault detection approach utilizing particle filter (PF) and Mahalanobis distance (MD). The discrete state-space model is constructed by a system identification algorithm named N4SID instead of physical principles. A sensor fault is determined if Mahalanobis distance between test state and training state is above the threshold. The experimental study demonstrates the accuracy and efficiency of the proposed method.
Keywords:
Structural health monitoring, Sensor fault detection, Particle filter, Mahalanobis distance, System identification