Kalman predictor subspace residual for mechanical system damage detection

For mechanical system structural health monitoring, a new residual generation method is proposed in this paper, inspired by recent result on subspace identification. It improves statistical properties of the existing residual, which has been naturally derived from standard identification method. Replacing monitored state-space model Kalman filter one-step ahead predictor key element improvement properties, as originally Verhaegen and Hansson design