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

6 Downloads (Pure)

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

Keywords

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

Fingerprint Dive into the research topics of 'Detailed state of the art review for the different online inline oil analysis techniques in context of wind turbine gearboxes'. Together they form a unique fingerprint.

Cite this