The combined effect of Scale and Non-stationary Conditions on Predictive Health Monitoring Procedures

A Case of Wind Turbine

Idriss El-Thalji, Erkki Jantunen

Research output: Contribution to conferenceConference articleScientific

Abstract

The condition monitoring and predictive health practices have become significantly important part of offshore wind farms in order to cut down operation and maintenance costs. Machine dynamics, machine rotational speed and sampling procedures are three significant features with the stochastic nature and together increase the complexity of predictive health monitoring (PHM) procedures. The purpose of the paper is to demonstrate; first, the influence of scale and environmental loading conditions on the reliability of the rotating components of wind energy system; second, their influences on PHM procedures. The case study method has been utilized; the target of analysis is the wind turbine gearbox (WTG) as a component that is facing operational challenges due to its scale and environmental disturbances. This paper result in first explores scaled-up design features and their associated failure modes. Second, it shows the effects of these features as interference, defect noises and others issues on whole monitoring procedures. Wind turbine as a scaled-up system has critical points where it's technical specifications, components, interfaces, functions could require careful modifications. The effectiveness of PHM system is significantly affected by those critical points.
Original languageEnglish
Publication statusPublished - 2012
MoE publication typeNot Eligible
EventESReDA Conference 2012, 42nd ESReDA Seminar on Risk and Reliability for Wind Energy and other Renewable Sources - Glasgow, United Kingdom
Duration: 15 May 201216 May 2012

Conference

ConferenceESReDA Conference 2012, 42nd ESReDA Seminar on Risk and Reliability for Wind Energy and other Renewable Sources
CountryUnited Kingdom
CityGlasgow
Period15/05/1216/05/12

Fingerprint

Wind turbines
Health
Monitoring
Offshore wind farms
Condition monitoring
Wind power
Failure modes
Sampling
Specifications
Defects
Costs

Keywords

  • wind farm
  • predictive health monitoring
  • scaled-up design
  • non-stationary loading
  • wear

Cite this

El-Thalji, I., & Jantunen, E. (2012). The combined effect of Scale and Non-stationary Conditions on Predictive Health Monitoring Procedures: A Case of Wind Turbine. Paper presented at ESReDA Conference 2012, 42nd ESReDA Seminar on Risk and Reliability for Wind Energy and other Renewable Sources, Glasgow, United Kingdom.
El-Thalji, Idriss ; Jantunen, Erkki. / The combined effect of Scale and Non-stationary Conditions on Predictive Health Monitoring Procedures : A Case of Wind Turbine. Paper presented at ESReDA Conference 2012, 42nd ESReDA Seminar on Risk and Reliability for Wind Energy and other Renewable Sources, Glasgow, United Kingdom.
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El-Thalji, I & Jantunen, E 2012, 'The combined effect of Scale and Non-stationary Conditions on Predictive Health Monitoring Procedures: A Case of Wind Turbine' Paper presented at ESReDA Conference 2012, 42nd ESReDA Seminar on Risk and Reliability for Wind Energy and other Renewable Sources, Glasgow, United Kingdom, 15/05/12 - 16/05/12, .

The combined effect of Scale and Non-stationary Conditions on Predictive Health Monitoring Procedures : A Case of Wind Turbine. / El-Thalji, Idriss; Jantunen, Erkki.

2012. Paper presented at ESReDA Conference 2012, 42nd ESReDA Seminar on Risk and Reliability for Wind Energy and other Renewable Sources, Glasgow, United Kingdom.

Research output: Contribution to conferenceConference articleScientific

TY - CONF

T1 - The combined effect of Scale and Non-stationary Conditions on Predictive Health Monitoring Procedures

T2 - A Case of Wind Turbine

AU - El-Thalji, Idriss

AU - Jantunen, Erkki

N1 - Project code: 76753

PY - 2012

Y1 - 2012

N2 - The condition monitoring and predictive health practices have become significantly important part of offshore wind farms in order to cut down operation and maintenance costs. Machine dynamics, machine rotational speed and sampling procedures are three significant features with the stochastic nature and together increase the complexity of predictive health monitoring (PHM) procedures. The purpose of the paper is to demonstrate; first, the influence of scale and environmental loading conditions on the reliability of the rotating components of wind energy system; second, their influences on PHM procedures. The case study method has been utilized; the target of analysis is the wind turbine gearbox (WTG) as a component that is facing operational challenges due to its scale and environmental disturbances. This paper result in first explores scaled-up design features and their associated failure modes. Second, it shows the effects of these features as interference, defect noises and others issues on whole monitoring procedures. Wind turbine as a scaled-up system has critical points where it's technical specifications, components, interfaces, functions could require careful modifications. The effectiveness of PHM system is significantly affected by those critical points.

AB - The condition monitoring and predictive health practices have become significantly important part of offshore wind farms in order to cut down operation and maintenance costs. Machine dynamics, machine rotational speed and sampling procedures are three significant features with the stochastic nature and together increase the complexity of predictive health monitoring (PHM) procedures. The purpose of the paper is to demonstrate; first, the influence of scale and environmental loading conditions on the reliability of the rotating components of wind energy system; second, their influences on PHM procedures. The case study method has been utilized; the target of analysis is the wind turbine gearbox (WTG) as a component that is facing operational challenges due to its scale and environmental disturbances. This paper result in first explores scaled-up design features and their associated failure modes. Second, it shows the effects of these features as interference, defect noises and others issues on whole monitoring procedures. Wind turbine as a scaled-up system has critical points where it's technical specifications, components, interfaces, functions could require careful modifications. The effectiveness of PHM system is significantly affected by those critical points.

KW - wind farm

KW - predictive health monitoring

KW - scaled-up design

KW - non-stationary loading

KW - wear

M3 - Conference article

ER -

El-Thalji I, Jantunen E. The combined effect of Scale and Non-stationary Conditions on Predictive Health Monitoring Procedures: A Case of Wind Turbine. 2012. Paper presented at ESReDA Conference 2012, 42nd ESReDA Seminar on Risk and Reliability for Wind Energy and other Renewable Sources, Glasgow, United Kingdom.