Subspace-based fault detection algorithms for vibration monitoring

We address the problem of detecting faults modeled as changes in the eigenstructure of a linear dynamical system. This problem is of primary interest for structural vibration monitoring. The purpose of the paper is to describe and analyze new fault detection algorithms, based on recent stochastic subspace-based identiication methods and the statistical local approach to the design of detection algorithms. A conceptual comparison is made with another detection algorithm based on the instrumental variables identiication method, and previously proposed by two of the authors.