Abstract
The main postulate in vibration-based structural health monitoring (SHM) is that structural damage can be detected from changes in the damage-sensitive features extracted from vibration measurements. In order to detect damage with a high sensitivity and reliability, several functions are needed. Control charts are applied to detect statistically significant changes in the features, sensor faults are identified using the minimum mean square error (MMSE) estimation, and the undesired effects of environmental or operational variations are removed using the linear factor analysis or the nonlinear mixture of linear factor analysers model. Different applications and data sets are analysed, including a wooden bridge and a vehicle crane.
Published Version
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