Vibration-based structural health monitoring using output-only measurements under changing environment
This paper deals with the problem of damage detection using output-only vibration measurements under changing environmental conditions. Two types of features are extracted from the measurements: eigenproperties of the structure using an automated stochastic subspace identification procedure and peak...
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| Published in | Mechanical systems and signal processing Vol. 22; no. 1; pp. 34 - 56 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
Elsevier Ltd
2008
Elsevier |
| Subjects | |
| Online Access | Get full text |
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| Abstract | This paper deals with the problem of damage detection using output-only vibration measurements under changing environmental conditions. Two types of features are extracted from the measurements: eigenproperties of the structure using an automated stochastic subspace identification procedure and peak indicators computed on the Fourier transform of modal filters. The effects of environment are treated using factor analysis and damage is detected using statistical process control with the multivariate Shewhart-
T
control charts.
A numerical example of a bridge subject to environmental changes and damage is presented. The sensitivity of the damage detection procedure to noise on the measurements, environment and damage is studied. An estimation of the computational time needed to extract the different features is given, and a table is provided to summarize the advantages and drawbacks of each of the features studied. |
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| AbstractList | This paper deals with the problem of damage detection using output-only vibration measurements under changing environmental conditions. Two types of features are extracted from the measurements: eigenproperties of the structure using an automated stochastic subspace identification procedure and peak indicators computed on the Fourier transform of modal filters. The effects of environment are treated using factor analysis and damage is detected using statistical process control with the multivariate Shewhart-
T
control charts.
A numerical example of a bridge subject to environmental changes and damage is presented. The sensitivity of the damage detection procedure to noise on the measurements, environment and damage is studied. An estimation of the computational time needed to extract the different features is given, and a table is provided to summarize the advantages and drawbacks of each of the features studied. This paper deals with the problem of damage detection using output-only vibration measurements under changing environmental conditions. Two types of features are extracted from the measurements: eigenproperties of the structure using an automated stochastic subspace identification procedure and peak indicators computed on the Fourier transform of modal filters. The effects of environment are treated using factor analysis and damage is detected using statistical process control with the multivariate Shewhart-T control charts. A numerical example of a bridge subject to environmental changes and damage is presented. The sensitivity of the damage detection procedure to noise on the measurements, environment and damage is studied. An estimation of the computational time needed to extract the different features is given, and a table is provided to summarize the advantages and drawbacks of each of the features studied. |
| Author | De Roeck, G. Deraemaeker, A. Reynders, E. Kullaa, J. |
| Author_xml | – sequence: 1 givenname: A. surname: Deraemaeker fullname: Deraemaeker, A. email: aderaema@ulb.ac.be organization: ULB, Active Structures Laboratory, 50 av Franklin Roosevelt, CP 165/42, B-1050 Brussels, Belgium – sequence: 2 givenname: E. surname: Reynders fullname: Reynders, E. organization: K.U.Leuven, Department of Civil Engineering, Kasteelpark Arenberg 40, B-3001 Heverlee, Belgium – sequence: 3 givenname: G. surname: De Roeck fullname: De Roeck, G. organization: K.U.Leuven, Department of Civil Engineering, Kasteelpark Arenberg 40, B-3001 Heverlee, Belgium – sequence: 4 givenname: J. surname: Kullaa fullname: Kullaa, J. organization: Helsinki Polytechnic Stadia, Department of Mechanical and Production Engineering, P.O. Box 4021, FIN-00099 City of Helsinki, Finland |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=19237077$$DView record in Pascal Francis |
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| Keywords | Statistical process control Output-only measurements Factor analysis Damage detection Modal filters Automatic stochastic subspace identification Structural health monitoring Spatial filtering Environmental effects Fourier transformation Structure integrity Vibration measurement Modeling Vibrometer Failure analysis Monitoring Damaging Control chart Vibration Probabilistic approach Subspace method Bridges Mode filter Medium effect Signal processing Environmental effect Spatial filters Defect detection |
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| Snippet | This paper deals with the problem of damage detection using output-only vibration measurements under changing environmental conditions. Two types of features... |
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| SubjectTerms | Automatic stochastic subspace identification Damage detection Environmental effects Exact sciences and technology Factor analysis Fracture mechanics (crack, fatigue, damage...) Fundamental areas of phenomenology (including applications) Measurement and testing methods Modal filters Output-only measurements Physics Solid mechanics Spatial filtering Statistical process control Structural and continuum mechanics Structural health monitoring Vibration, mechanical wave, dynamic stability (aeroelasticity, vibration control...) |
| Title | Vibration-based structural health monitoring using output-only measurements under changing environment |
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