Detailed state of the art review for the different online inline oil analysis techniques in context of wind turbine gearboxes

Andrew Hamilton, Francis Quail

Research output: Contribution to journalArticle

Abstract

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
LanguageEnglish
Article number044001
Number of pages18
JournalJournal of Tribology
Volume133
Issue number4
DOIs
Publication statusPublished - 6 Oct 2011

Fingerprint

transmissions (machine elements)
ferrography
wind turbines
Condition monitoring
Wind turbines
Oils
oils
maintenance
Photoacoustic spectroscopy
Turbine components
windpower utilization
photoacoustic spectroscopy
Asset management
viscometers
Viscometers
reviewing
Fluorescence spectroscopy
Wind power
Fourier transform infrared spectroscopy
delivery

Keywords

  • condition monitoring
  • gearbox
  • wind turbuine
  • inline
  • online
  • oil analysis
  • particulate analysis
  • FITR spectroscopy
  • photoacoustic spectroscopy
  • sensors
  • fiber optics

Cite this

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title = "Detailed state of the art review for the different online inline oil analysis techniques in context of wind turbine gearboxes",
abstract = "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 purposeinclude 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",
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Detailed state of the art review for the different online inline oil analysis techniques in context of wind turbine gearboxes. / Hamilton, Andrew; Quail, Francis.

In: Journal of Tribology, Vol. 133, No. 4, 044001, 06.10.2011.

Research output: Contribution to journalArticle

TY - JOUR

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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 purposeinclude 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

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