title: Time-frequency methods for structural health monitoring.
abstract: Detection of early warning signals for the imminent failure of large and complex engineered structures is a daunting challenge with many open research questions. In this paper we report on novel ways to perform Structural Health Monitoring (SHM) of flood protection systems (levees, earthen dikes and concrete dams) using sensor data. We present a robust data-driven anomaly detection method that combines time-frequency feature extraction, using wavelet analysis and phase shift, with one-sided classification techniques to identify the onset of failure anomalies in real-time sensor measurements. The methodology has been successfully tested at three operational levees. We detected a dam leakage in the retaining dam (Germany) and "strange" behaviour of sensors installed in a Boston levee (UK) and a Rhine levee (Germany).
authors.affiliation: Siemens LLC, Corporate Technology, Volynskiy lane 3A, St. Petersburg, 191186, Russia. alexander.pyayt@siemens.com.
authors.forename: Alexander L
authors.initials: AL
authors.lastname: Pyayt
authors.affiliation: Siemens LLC, Corporate Technology, Volynskiy lane 3A, St. Petersburg, 191186, Russia. alexey.kozionov@siemens.com.
authors.forename: Alexey P
authors.initials: AP
authors.lastname: Kozionov
authors.affiliation: Siemens LLC, Corporate Technology, Volynskiy lane 3A, St. Petersburg, 191186, Russia. ilya.mokhov@siemens.com.
authors.forename: Ilya I
authors.initials: II
authors.lastname: Mokhov
authors.affiliation: Siemens AG, Corporate Technology, Muenchen, 80200, Germany. bernhard.lang@siemens.com.
authors.forename: Bernhard
authors.initials: B
authors.lastname: Lang
authors.affiliation: University of Amsterdam, Science Park 904, 1098 XH, Amsterdam, The Netherlands. robert.meijer@tno.nl.
authors.forename: Robert J
authors.initials: RJ
authors.lastname: Meijer
authors.affiliation: University of Amsterdam, Science Park 904, 1098 XH, Amsterdam, The Netherlands. V.Krzhizhanovskaya@uva.nl.
authors.forename: Valeria V
authors.initials: VV
authors.lastname: Krzhizhanovskaya
authors.affiliation: University of Amsterdam, Science Park 904, 1098 XH, Amsterdam, The Netherlands. P.M.A.Sloot@uva.nl.
authors.forename: Peter M A
authors.initials: PM
authors.lastname: Sloot
mesh_terms: D000465:Algorithms; D002947:Cities; D055868:Floods; D005583:Fourier Analysis; D016062:Porosity; D011312:Pressure; D045483:Rivers; D055883:Structure Collapse; D013997:Time Factors; D058067:Wavelet Analysis