Szczegóły publikacji
Opis bibliograficzny
Data normalisation for Lamb wave-based damage detection using cointegration: a case study with single- and multiple-temperature trends / Phong B DAO, Wiesław J. STASZEWSKI // Journal of Intelligent Material Systems and Structures ; ISSN 1045-389X. — 2014 — vol. 25 iss. 7 spec. iss., s. 845–857. — Bibliogr. s. 856–857, Abstr. — ICAST 2012 : The 23rd International Conference on Adaptive Structures Technologies : 11–13 October 2012, Nanjing, China
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 86070 |
|---|---|
| Data dodania do BaDAP | 2014-12-04 |
| DOI | 10.1177/1045389XI3512186 |
| Rok publikacji | 2014 |
| Typ publikacji | referat w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Journal of Intelligent Material Systems and Structures |
Abstract
This article presents an application of the cointegration technique for temperature effect removal (i.e. data normalisation) in Lamb wave-based damage detection. The method is based on the concept of stationarity of time series. Analysis of cointegrating residuals and stationary statistical characteristics - before and after the cointegration process - are used for damage detection. The method is validated using Lamb wave data from undamaged and damaged aluminium plates instrumented with low-profile, surface-bonded piezoceramic transducers. Two temperature variation cases (singleand multiple-temperature trends) are investigated. The experimental results show that the cointegration process can remove undesired temperature effects and accurately detect damage
