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.

1.
Millborrow
,
D.
, 2006, “
Operation and Maintenance Costs Compared and Revealed
,”
Wind Stats Newsletter
,
19
(
3
).
2.
IEC-61400-25-1, -2, and -3, “
Wind Turbines - Part 25: Communications for Monitoring and Control of Wind Power Plants
,” International Electrotechnical Commission, Geneva, 2006-12.
3.
Communications for Monitoring and Control of Wind Power Plants
,” Report Nos. IEC-61400-25-1, IEC-61400-25-2, and IEC-61400-25-3.
4.
Cozens
,
N. J.
, and
Watson
,
S. J.
, 2003, “
State of the Art Condition Monitoring Techniques Suitable for Wind Turbines and Wind Farm Applications
,” Report for the CONMOW project, CREST∕CONMOW∕01∕DOC.
5.
Watson
,
S. J.
,
Infield
,
D. G.
, and
Xiang
,
J.
, 2008, “
Condition Monitoring of Wind Turbines—Measurements and Methods
,”
IET Renewable Power Generation
, submitted.
6.
Non-Nuclear Energy-Joule II European Wind Turbine Standards Project, European Communities, Brussels, 1996,
European Wind Turbine Standards: Project Results
, EU, DG XII.
7.
Dalhoff
,
P.
, and
Muuss
,
T.
, 2003, “
Guideline for the Certification of Condition Monitoring Systems for Wind Turbines, Edition 2007
,” Germanischer Lloyd, Hamburg, 2007.
8.
Becker
,
E.
, and
Schuhle
,
R.
, 2006, “
Condition Monitoring on ‘Small’ Systems up to 1500kW
,” Erneuerebare Energien, Edition 6/2006, pp.
28
30
.
9.
Yang
,
S. J.
, 1981,
Low-Noise Electrical Motors
,
Clarendon
,
Oxford
.
10.
Vas
,
P.
, 1993,
Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines
,
Clarendon
,
Oxford
.
11.
Thiringer
,
T.
, 2001, “
Periodic Pulsations From a Three-Bladed Wind Turbine
,”
IEEE Trans. Energy Convers.
0885-8969,
16
(
2
), pp.
128
133
.
12.
Tsai
,
C.-S.
,
Hsieh
,
C.-T.
, and
Huang
,
S.-J.
, 2006, “
Enhancement of Damage-Detection of Wind Turbine Blades Via CWT-Based Approaches
,”
IEEE Trans. Energy Convers.
0885-8969,
21
(
3
), pp.
776
781
.
13.
Huang
,
S.-J.
, and
Hsieh
,
C.-T.
, 1999, “
High-Impedance Fault Detection Utilizing a Morlet Wavelet Transform Approach
,”
IEEE Trans. Power Deliv.
0885-8977,
14
(
4
), pp.
1401
1407
.
14.
Ministerie van Verkeer en Waterstaat, Monitoring van de Waterstaatkundige Toestand des Lands (MWTL), Data YM6, (www.golfklimaat.nlwww.golfklimaat.nl).
15.
Braam
,
H.
, and
Eecen
,
P. J.
, 2005, “
Assessment of Wind and Wave Data Measured at IJmuiden Munitiestortplaats
,” Report No. ECN-C-05-060.
16.
Rademakers
,
L. W. M. M.
,
Braam
,
H.
,
Obdam
,
T. S.
,
Frohboese
,
P.
, and
Kruse
,
N.
, 2007, “
Tools for Estimating Operation and Maintenance Costs of Offshore Wind Farms
,”
Paper Presented at the Hamburg Offshore Wind Conference
, Sept. 6.
17.
Wiggelinkhuizen
,
E.
,
Vergruggen
,
T.
,
Braam
,
H.
,
Rademakers
,
L.
,
Xiang
,
J.
,
Watson
,
S.
,
Giebel
,
G.
,
Norton
,
E.
,
Hassan
,
G.
,
Tipluica
,
M. C.
,
MacLean
,
A.
,
Christensen
,
A. J.
,
Becker
,
E.
, and
Scheffler
,
D.
, 2007,
CONMOW: Condition Monitoring for Offshore Wind Farms, Paper Presented at the European Wind Energy Conference 2007
, Milan, May 7–10.
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