Abstract
| Language | English |
|---|---|
| Article number | 044001 |
| Number of pages | 18 |
| Journal | Journal of Tribology |
| Volume | 133 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 6 Oct 2011 |
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Keywords
- tribology
- oil analysis
- wind turbines
- electrical systems
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Detailed state of the art review for the different on-line/in-line oil analysis techniques in context of wind turbine gearboxes. / Hamilton, A.; Quail, Francis J.
In: Journal of Tribology, Vol. 133, No. 4, 044001, 06.10.2011.Research output: Contribution to journal › Article
TY - JOUR
T1 - Detailed state of the art review for the different on-line/in-line oil analysis techniques in context of wind turbine gearboxes
AU - Hamilton, A.
AU - Quail, Francis J.
PY - 2011/10/6
Y1 - 2011/10/6
N2 - The main driver behind developing advanced condition monitoring (CM) systems for the wind energy industry is the delivery of improved asset management regarding the operation and maintenance of the gearbox and other wind turbine components and systems. Current gearbox CM systems mainly detect faults by identifying ferrous materials, water, and air within oil by changes in certain properties such as electrical fields. In order to detect oil degradation and identify particles, more advanced devices are required to allow a better maintenance regime to be established. Current technologies available specifically for this purpose include Fourier transform infrared (FTIR) spectroscopy and ferrography. There are also several technologies that have not yet been or have been recently applied to CM problems. After reviewing the current state of the art, it is recommended that a combination of sensors would be used that analyze different characteristics of the oil. The information individually would not be highly accurate but combined it is fully expected that greater accuracy can be obtained. The technologies that are suitable in terms of cost, size, accuracy, and development are online ferrography, selective fluorescence spectroscopy, scattering measurements, FTIR, photoacoustic spectroscopy, and solid state viscometers.
AB - The main driver behind developing advanced condition monitoring (CM) systems for the wind energy industry is the delivery of improved asset management regarding the operation and maintenance of the gearbox and other wind turbine components and systems. Current gearbox CM systems mainly detect faults by identifying ferrous materials, water, and air within oil by changes in certain properties such as electrical fields. In order to detect oil degradation and identify particles, more advanced devices are required to allow a better maintenance regime to be established. Current technologies available specifically for this purpose include Fourier transform infrared (FTIR) spectroscopy and ferrography. There are also several technologies that have not yet been or have been recently applied to CM problems. After reviewing the current state of the art, it is recommended that a combination of sensors would be used that analyze different characteristics of the oil. The information individually would not be highly accurate but combined it is fully expected that greater accuracy can be obtained. The technologies that are suitable in terms of cost, size, accuracy, and development are online ferrography, selective fluorescence spectroscopy, scattering measurements, FTIR, photoacoustic spectroscopy, and solid state viscometers.
KW - tribology
KW - oil analysis
KW - wind turbines
KW - electrical systems
UR - http://www.scopus.com/inward/record.url?scp=80054087258&partnerID=8YFLogxK
UR - http://link.aip.org/link/?JTQ/133/044001
U2 - 10.1115/1.4004903
DO - 10.1115/1.4004903
M3 - Article
VL - 133
JO - Journal of Tribology
T2 - Journal of Tribology
JF - Journal of Tribology
SN - 0742-4787
IS - 4
M1 - 044001
ER -