Damage classification and estimation in experimental structures using time series analysis and pattern recognition

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Emerging artificial intelligence methods in structural engineering (2018, methodology): “[93] presented a damage classification approach using time series analysis and PR, in which artificial neural networks (ANN) were used to determine the coefficients of the autoregressive models.”
The promise of implementing machine learning in earthquake engineering: A state-of-the-art review (2020, methodology): “Similar studies have considered using innovative metrics such as Bayes factors, natural modes, and coefficients of autoregressive models for damage detection (De Lautour and Omenzetter, 2010; Gonza´lez and Zapico, 2008; Jiang and Adeli, 2007; Jiang and Mahadevan, 2008).”