Application of time series analysis for bridge monitoring

By Piotr Omenzetter, James Mark William Brownjohn. 2006

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Damage classification and estimation in experimental structures using time series analysis and pattern recognition (2010, methodology): “Brownjohn [21] used a vector Seasonal Autoregressive Integrated Moving Average model to detect abrupt changes in strain data collected from the continuous monitoring of a major bridge structure.”
A State of the Art Review of Modal-Based Damage Detection in Bridges: Development, Challenges, and Solutions (2017, background): “Given the present paper’s aim and scope, the reader is advised to inquire the following publications for a more detailed account of AR type models’ theoretical base [159,160].”
Structural health monitoring of civil infrastructure (2007, methodology): “The most useful data were retrieved from the strain, stress and temperature cells, read at hourly intervals over long periods during the monitoring, and great use of these data has been made (Moyo & Brownjohn 2002a,b; Omenzetter & Brownjohn 2006) for developing procedures for anomaly detection.”