Time series-based damage detection and localization algorithm with application to the ASCE benchmark structure

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Simultaneous identification of moving masses and structural damage (2010, methodology): “2009) or statistical classification techniques (Silva et al. 2008; Nair et al. 2006).”
Damage classification and estimation in experimental structures using time series analysis and pattern recognition (2010, methodology): “[25] used an ARMA time series to model the vibration signals from the ASCE Phase II Experimental SHM Benchmark Structure.”
Vibration based health monitoring for a lightweight truss structure: experimental assessment of several statistical time series methods (2010, unknown): “[21,22] to tackle damage detection.”
Emerging artificial intelligence methods in structural engineering (2018, unknown): “In addition, Nair and Kiremidjian [84] introduced a time series algorithm based on an autoregressive moving average model for damage assessment of a benchmark structure, where they showed that the algorithm was able to identify and localize small to severe levels of damage.”