TY - GEN A1 - Viefhues, Eva T1 - Subspace-based damage detection handling temperature effects and uncertainty in the reference N2 - Temperature variation can be a nuisance that perturbs vibration based structural health monitoring (SHM)approaches for civil engineering structures. In this paper, temperature affected vibration data is evaluated within a stochastic damage detection framework, which relies on a null space based residual. Besides two existing temperature rejection approaches – building a reference state from an averaging method or a piecewise method – a new approach is proposed, using model interpolation. In this approach, a general reference model is obtained from data in the reference state at several known reference temperatures. Then, for a particular tested temperature, a local reference model is derived from the general reference model. Thus, a well fitting reference null space for the formulation of a residual is available when new data is tested for damage detection at an arbitrary temperature. Particular attention is paid to the computation of the residual covariance, taking into account the uncertainty related to the null space matrix estimate. This improves the test performance, contrary to prior methods, for local and global damages, resulting in a higher probability of detection (PoD) for the new interpolation approach compared to previous approaches. T2 - Abteilungs-Vortragsseminar Abteilung 7 Bauwerksicherheit CY - Berlin, Germany DA - 28.11.2019 KW - Statistical method KW - Subspace-based method KW - Temperature rejection KW - Model interpolation KW - Uncertainty PY - 2019 UR - https://opus4.kobv.de/opus4-bam/frontdoor/index/index/docId/50195 AN - OPUS4-50195 AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany