Optimal selection of autoregressive model coefficients for early damage detectability with an application to wind turbine blades
| Contribuinte(s) |
University of Aberdeen, School of Engineering University of Aberdeen, School of Engineering, Engineering University of Aberdeen, Energy |
|---|---|
| Data(s) |
05/08/2016
05/08/2016
01/03/2016
20/03/2001
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| 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 |
21 |
| Identificador |
Hoell , S & Omenzetter , P 2016 , ' Optimal selection of autoregressive model coefficients for early damage detectability with an application to wind turbine blades ' Mechanical Systems and Signal Processing , vol 70-71 , pp. 557-577 . , 10.1016/j.ymssp.2015.09.007 0888-3270 PURE: 55792444 PURE UUID: 79aabf6d-6e39-4d54-af72-0bd7b1efb2df |
| Idioma(s) |
eng |
| Relação |
Mechanical Systems and Signal Processing |
| Direitos |
© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| Palavras-Chave | #autoregressive models #damage detection #hypothesis testing #optimal feature selection #time series #wind turbine #T Technology #T |
| Tipo |
Journal article |
