Optimal selection of autoregressive model coefficients for early damage detectability with an application to wind turbine blades


Autoria(s): Hoell, Simon; Omenzetter, Piotr
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

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 . DOI: 10.1016/j.ymssp.2015.09.007

0888-3270

PURE: 55792444

PURE UUID: 79aabf6d-6e39-4d54-af72-0bd7b1efb2df

http://hdl.handle.net/2164/6499

http://dx.doi.org/10.1016/j.ymssp.2015.09.007

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