Merging sensor data from multiple temperature scenarios for vibration monitoring of civil structures
Overview & Synopsis
The ambient temperature effect may result in limitations of vibration-based structural health monitoring (SHM) approaches for civil engineering structures. This paper addresses the issue of discriminating changes in modal parameters due to damages and changes in modal parameters due to temperature effects. A non parametric damage detection algorithm is proposed, which only assumes that several datasets are recorded on the safe structure at different and unknown temperatures, and smoothes out the temperature effect using an averaging operation.
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hal.science)
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Document Information
| Document Title | Merging sensor data from multiple temperature scenarios for vibration monitoring of civil structures |
|---|---|
| Author / Organization | Etienne Balmès, Michèle Basseville, Laurent Mevel, Houssein Nasser, Frédéric Bourquin, Fabien Treyssède |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2006 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-30603 |
| Original Source Link | Visit Source Page on hal.science » |