Comparison of the sensitivity of different sensor technologies to imbalance severity in low speed wind turbines


Autoria(s): Shahriar, Md Rifat; Borghesani, Pietro; Tan, Andy C.C.
Data(s)

26/03/2016

Resumo

Imbalance is not only a direct major cause of downtime in wind turbines, but also accelerates the degradation of neighbouring and downstream components (e.g. main bearing, generator). Along with detection, the imbalance quantification is also essential as some residual imbalance always exist even in a healthy turbine. Three different commonly used sensor technologies (vibration, acoustic emission and electrical measurements) are investigated in this work to verify their sensitivity to different imbalance grades. This study is based on data obtained by experimental tests performed on a small scale wind turbine drive train test-rig for different shaft speeds and imbalance levels. According to the analysis results, electrical measurements seem to be the most suitable for tracking the development of imbalance.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/94997/

Relação

http://eprints.qut.edu.au/94997/1/WCEAM2015_Imbalance_FDD_Vib_AE_Current_v4.pdf

DOI:10.1007/978-3-319-27064-7_56

Shahriar, Md Rifat, Borghesani, Pietro, & Tan, Andy C.C. (2016) Comparison of the sensitivity of different sensor technologies to imbalance severity in low speed wind turbines. In 10th World Congress on Engineering Asset Management (WCEAM 2015), 28–30 September 2015, Tampere, Finland.

Direitos

Copyright 2015 [Please consult the author]

Fonte

School of Chemistry, Physics & Mechanical Engineering; Science & Engineering Faculty

Palavras-Chave #091301 Acoustics and Noise Control (excl. Architectural Acoustics) #091304 Dynamics Vibration and Vibration Control #Wind Turbine #Imbalance #Imbalance severity #Fault detection and diagnosis #Condition monitoring #Virbation #Acoustic emission #Current signal
Tipo

Conference Paper