Early damage assessment in large-scale structures by innovative statistical pattern recognition methods based on time series modeling and novelty detection
Time series analysis and novelty detection are effective and promising methods for data-
driven structural health monitoring (SHM) based on the statistical pattern recognition
paradigm. However, processing substantially large volumes of vibration measurements may
represent a serious limitation, especially for long-term SHM programs of large-scale civil
structures. Moreover, shortcomings like the choice of an appropriate time series model in an
automatic manner, the determination of optimal orders of the identified model and the …
driven structural health monitoring (SHM) based on the statistical pattern recognition
paradigm. However, processing substantially large volumes of vibration measurements may
represent a serious limitation, especially for long-term SHM programs of large-scale civil
structures. Moreover, shortcomings like the choice of an appropriate time series model in an
automatic manner, the determination of optimal orders of the identified model and the …
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