Practical online condition monitoring of gearbox oil using non-dispersive infra-red sensors

M.A. Parker, A. Cleary, A.W. Hamilton

Research output: Contribution to conference › Proceeding

2 Citations (Scopus)

Abstract

A study has been carried out on the feasibility of using nondispersive infra-red (NDIR) analysis for online condition monitoring of the degradation of wind turbine gearbox oil. In particular, the effects of varying the size of the gap through which the oil flows was analysed, with considerably larger gaps of 1-3mm used than reported elsewhere. Due to the high viscosity of gearbox oil, a large gap size is desirable for online monitoring. Old and new oil were found to produce a different output from the detector, suggesting that online condition monitoring of oil using NDIR is viable with large gap sizes, although the largest gap size produced some anomalous results.
LanguageEnglish
Pages1-6
Number of pages6
DOIs
Publication statusPublished - 25 Sep 2014
EventIET Renewable Power Generation Conference (RPG 2014) - Naples, Italy
Duration: 24 Sep 2014 → 25 Sep 2014

Conference

ConferenceIET Renewable Power Generation Conference (RPG 2014)
CountryItaly
CityNaples
Period24/09/14 → 25/09/14

Fingerprint

Condition monitoring
Infrared radiation
Sensors
Wind turbines
Oils
Viscosity
Detectors
Degradation
Monitoring

Keywords

  • infrared detectors
  • condition monitoring
  • gears
  • wind turbines
  • lubricating oils
  • gearbox oil
  • oil analysis
  • non-dispersive infra-red (NDIR)

Cite this

Parker, M.A. ; Cleary, A. ; Hamilton, A.W. / Practical online condition monitoring of gearbox oil using non-dispersive infra-red sensors. IET Renewable Power Generation Conference (RPG 2014), Naples, Italy.6 p.
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Parker, MA, Cleary, A & Hamilton, AW 2014, 'Practical online condition monitoring of gearbox oil using non-dispersive infra-red sensors' IET Renewable Power Generation Conference (RPG 2014), Naples, Italy, 24/09/14 - 25/09/14, pp. 1-6. https://doi.org/10.1049/cp.2014.0913

Practical online condition monitoring of gearbox oil using non-dispersive infra-red sensors. / Parker, M.A.; Cleary, A.; Hamilton, A.W.

2014. 1-6 IET Renewable Power Generation Conference (RPG 2014), Naples, Italy.

Research output: Contribution to conference › Proceeding

TY - CONF

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AU - Cleary, A.

AU - Hamilton, A.W.

N1 - © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2014/9/25

Y1 - 2014/9/25

N2 - A study has been carried out on the feasibility of using nondispersive infra-red (NDIR) analysis for online condition monitoring of the degradation of wind turbine gearbox oil. In particular, the effects of varying the size of the gap through which the oil flows was analysed, with considerably larger gaps of 1-3mm used than reported elsewhere. Due to the high viscosity of gearbox oil, a large gap size is desirable for online monitoring. Old and new oil were found to produce a different output from the detector, suggesting that online condition monitoring of oil using NDIR is viable with large gap sizes, although the largest gap size produced some anomalous results.

AB - A study has been carried out on the feasibility of using nondispersive infra-red (NDIR) analysis for online condition monitoring of the degradation of wind turbine gearbox oil. In particular, the effects of varying the size of the gap through which the oil flows was analysed, with considerably larger gaps of 1-3mm used than reported elsewhere. Due to the high viscosity of gearbox oil, a large gap size is desirable for online monitoring. Old and new oil were found to produce a different output from the detector, suggesting that online condition monitoring of oil using NDIR is viable with large gap sizes, although the largest gap size produced some anomalous results.

KW - infrared detectors

KW - condition monitoring

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KW - wind turbines

KW - lubricating oils

KW - gearbox oil

KW - oil analysis

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Parker MA, Cleary A, Hamilton AW. Practical online condition monitoring of gearbox oil using non-dispersive infra-red sensors. 2014. IET Renewable Power Generation Conference (RPG 2014), Naples, Italy. https://doi.org/10.1049/cp.2014.0913

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