46303 2018 eng 414 419 24 51 conferenceobject Elsevier International Federation of Automatic Control 1 -- -- -- The local asymptotic approach is promising for vibration-based fault diagnosis when associated to a subspace-based residual function and efficient hypothesis testing tools. It has the ability of detecting small changes in some chosen system parameters. In the residual function,the left null space of the observability matrix associated to a reference model is confronted to the Hankel matrix of output covariances estimated from test data. When this left null space is not perfectly known from a model, it should be replaced by an estimate from data to avoid model errors in the residual computation. In this paper, the asymptotic distribution of the resulting data-driven residual is analyzed and its covariance is estimated, which includes also the covariance related to the reference null space estimate. The advantages of the data-driven residual are demonstrated in a numerical study, and the importance of including the covariance of the reference null space estimate is shown, which increases the detection Performance. 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2018 2405-8963 10.1016/j.ifacol.2018.09.610 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2018 Warsaw, Poland 29.08.2018 31.08.2018 01.11.2018 Eva Viefhues M. Döhler Falk Hille L. Mevel eng uncontrolled Subspace-based method eng uncontrolled Fault detection eng uncontrolled Uncertainty in reference eng uncontrolled Residual evaluation eng uncontrolled Statistical tests eng uncontrolled Vibration measurements Ingenieurbau Datei im Netzwerk der BAM verfügbar ("Closed Access") Graue Literatur