Improved damage detectability in a wind turbine blade by optimal selection of vibration signal correlation coefficients
| Data(s) |
10/06/2016
10/06/2016
07/06/2016
|
|---|---|
| Resumo |
Piotr Omenzetter and Simon Hoell’s work within the Lloyd’s Register Foundation Centre for Safety and Reliability Engineering at the University of Aberdeen is supported by Lloyd’s Register Foundation. The Foundation helps to protect life and property by supporting engineering-related education, public engagement and the application of research. Peer reviewed Postprint |
| Formato |
19 |
| Identificador |
Hoell , S & Omenzetter , P 2016 , ' Improved damage detectability in a wind turbine blade by optimal selection of vibration signal correlation coefficients ' Structural Health Monitoring , pp. 1-19 . 1475-9217 PURE: 68286440 PURE UUID: c458b71d-a19e-467d-892a-0981a86fe6b7 |
| Idioma(s) |
eng |
| Relação |
Structural Health Monitoring |
| Direitos |
This is the author's version of a manuscript accepted for publication in Structural Health Monitoring. |
| Palavras-Chave | #damage detection #fast forward selection #genetic algorithm #optimal feature selection #partial autocorrelation function #principal component analysis #structural health monitoring #vibration based damage detection #wind turbines #TA Engineering (General). Civil engineering (General) #TA |
| Tipo |
Journal article |
| Contribuinte(s) |
University of Aberdeen, School of Engineering University of Aberdeen, School of Engineering, Engineering University of Aberdeen, Energy |
