Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 103-118 |
| Seitenumfang | 16 |
| Fachzeitschrift | Journal of vibroengineering |
| Jahrgang | 18 |
| Ausgabenummer | 1 |
| Publikationsstatus | Veröffentlicht - 2016 |
Abstract
Although numerous structural identification methods have been proposed, most of them are problem dependent, rely on classical approaches based on mathematical concepts, and/or are based on changes in modal characteristics that are not sensitive to damage. This study aims to utilize a metaheuristic modified optimization algorithm for the identification of damage in a numerically modeled 5-MW reference turbine. A variety of damage severities, sensor numbers and noise percentages were investigated. The results show that the presented algorithm’s identification accuracy is not affected by the magnitude of damage whereas sensor configuration and noise severity do have a significant effect. The satisfying results encourage considering its application on in-situ structural identification tasks based on experimental measurements.
ASJC Scopus Sachgebiete
- Werkstoffwissenschaften (insg.)
- Allgemeine Materialwissenschaften
- Ingenieurwesen (insg.)
- Maschinenbau
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
in: Journal of vibroengineering, Jahrgang 18, Nr. 1, 2016, S. 103-118.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - 1876. A modified harmony search approach on structural identification and damage detection of wind turbine supporting structures
AU - Jahjouh, Mahmoud M.
AU - Nackenhorst, Udo
N1 - Publisher Copyright: © JVE INTERNATIONAL LTD.
PY - 2016
Y1 - 2016
N2 - Although numerous structural identification methods have been proposed, most of them are problem dependent, rely on classical approaches based on mathematical concepts, and/or are based on changes in modal characteristics that are not sensitive to damage. This study aims to utilize a metaheuristic modified optimization algorithm for the identification of damage in a numerically modeled 5-MW reference turbine. A variety of damage severities, sensor numbers and noise percentages were investigated. The results show that the presented algorithm’s identification accuracy is not affected by the magnitude of damage whereas sensor configuration and noise severity do have a significant effect. The satisfying results encourage considering its application on in-situ structural identification tasks based on experimental measurements.
AB - Although numerous structural identification methods have been proposed, most of them are problem dependent, rely on classical approaches based on mathematical concepts, and/or are based on changes in modal characteristics that are not sensitive to damage. This study aims to utilize a metaheuristic modified optimization algorithm for the identification of damage in a numerically modeled 5-MW reference turbine. A variety of damage severities, sensor numbers and noise percentages were investigated. The results show that the presented algorithm’s identification accuracy is not affected by the magnitude of damage whereas sensor configuration and noise severity do have a significant effect. The satisfying results encourage considering its application on in-situ structural identification tasks based on experimental measurements.
KW - Damage detection
KW - Harmony search
KW - Identification
KW - Optimization
KW - Wind turbine
UR - http://www.scopus.com/inward/record.url?scp=84978291015&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:84978291015
VL - 18
SP - 103
EP - 118
JO - Journal of vibroengineering
JF - Journal of vibroengineering
SN - 1392-8716
IS - 1
ER -