Research Papers

Assessment of Condition Monitoring Techniques for Offshore Wind Farms

[+] Author and Article Information
Edwin Wiggelinkhuizen, Theo Verbruggen, Henk Braam, Luc Rademakers

 Energy Research Centre of the Netherlands (ECN) (NL), Petten NL-175526, Netherlands

Jianping Xiang, Simon Watson

 Loughborough University (CREST), Ashby Road, LE11 3TU Loughborough, Leicestershire, UK

J. Sol. Energy Eng 130(3), 031004 (Jun 24, 2008) (9 pages) doi:10.1115/1.2931512 History: Received May 25, 2007; Revised March 07, 2008; Published June 24, 2008

This paper discusses the results of an extensive investigation to assess the added value of various techniques of health monitoring to optimize the maintenance procedures of offshore wind farms. This investigation was done within the framework of the EU funded Condition Monitoring for Offshore Wind Farms (CONMOW) project, which was carried out from 2002 to 2007. A small wind farm of five turbines has been instrumented with several condition monitoring systems and also with the “traditional” measurement systems for measuring mechanical loads and power performance. Data from vibration and traditional measurements, together with data collected by the turbine’s system control and data acquisition (SCADA) systems, have been analyzed to assess (1) if failures can be determined from the different data sets; (2) if so, if they can be detected at an early stage and if their progress over time can be monitored; and (3) if criteria are available to assess the component’s health. Several data analysis methods and measurement configurations have been developed, applied, and tested. This paper first describes the use of condition monitoring if condition based maintenance is going to be applied instead of only scheduled and corrective maintenance. Second, the paper describes the CONMOW project and its major results, viz., the assessment of the usefulness and capabilities of condition monitoring systems, including algorithms for identifying early failures. Finally, the economic consequences of applying condition monitoring systems have been quantified and assessed.

Copyright © 2008 by American Society of Mechanical Engineers
Your Session has timed out. Please sign back in to continue.



Grahic Jump Location
Figure 1

Schematic overview of different maintenance types

Grahic Jump Location
Figure 2

Condition based maintenance based on inspections at regular inspection intervals (solid line) or on online monitoring (dashed line)

Grahic Jump Location
Figure 3

Schematic overview of measurement and communication infrastructure

Grahic Jump Location
Figure 4

Maximum daily amplitude of the wavelet fast Fourier transform (FFT) filtered GE 1.5S wind turbine power output within the frequency range 2.5Hz and 3.0Hz

Grahic Jump Location
Figure 5

Maximum daily rms of one of the wavelet filtered Nordex N80 wind turbine power outputs within the frequency range 6.5Hz and 7.5Hz

Grahic Jump Location
Figure 6

Nordex N80 generator bearing temperature (corrected for ambient temperature) as a function of power output

Grahic Jump Location
Figure 7

Example of detrending of SCADA data

Grahic Jump Location
Figure 8

Nordex N80 nacelle accelerometer axial vibration as a function of the square of wind speed

Grahic Jump Location
Figure 9

Relative reduction in revenue losses and repair costs as a function of the fractions of nondetected failures and false alarms. The fraction of failures that can be shifted to a less severe maintenance category is set to 60%.



Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In