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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
