© The Institution of Engineering and Technology
Some large grid connected wind turbines use a low-speed synchronous generator, directly coupled to the turbine, and a fully rated converter to transform power from the turbine to mains electricity. The condition monitoring and diagnosis of mechanical and electrical faults in such a machine are considered, bearing in mind that it has a slow variable speed and is subject to the stochastic, aerodynamic effects of the wind. The application of wavelet transforms is investigated in the light of the disadvantages of spectral analysis in processing signals subject to such stochastic effects. The technique can be used to monitor generator electrical and drive train mechanical faults. It is validated experimentally on a wind turbine condition monitoring test rig using a three-phase, permanent-magnet, slow-speed, synchronous generator, driven by a motor controlled by a model representing the aerodynamic forces from a wind turbine. The possibility of detecting mechanical and electrical faults in wind turbines by electrical signal and particularly power analysis is heralded.
References
-
-
1)
-
P. Tavner
.
Review of condition monitoring of rotating electrical machines.
IET Electr. Power Appl.
,
4 ,
215 -
247
-
2)
-
Wilkinson, M.R., Spinato, F., Tavner, P.J.: `Condition monitoring of generators & other subassemblies in wind turbine drive trains', IEEE Int Conf SDEMPED, September 2007, Cracow.
-
3)
-
E. Spooner ,
P. Gordon ,
J.R. Bumby
.
Lightweight ironless-stator PM generators for direct-drive wind turbines.
IEE Proc. Electr. Power Appl.
,
1 ,
17 -
26
-
4)
-
P. Caselitz ,
J. Giebhardt
.
Rotor condition monitoring for improved operational safety of offshore wind energy converters.
ASME Trans. J. Solar Energy Eng.
,
253 -
261
-
5)
-
X.F. Fan ,
M.J. Zuo
.
Fault diagnosis of machines based on D-S evidence theory. Part 2: application of the improved D-S evidence theory in gearbox fault diagnosis.
Pattern Recognit. Lett.
,
377 -
385
-
6)
-
`Wind report 2004', Technical Report, 2004.
-
7)
-
W.X. Yang ,
P.W. Tse
.
An advanced strategy for detecting impulses in mechanical signals.
Trans. ASME J. Vib. Acoust.
,
3 ,
280 -
284
-
8)
-
L. Ran ,
R. Yacamini ,
K.S. Smith
.
Torsional vibrations in electrical induction motor drives during start up.
Trans. ASME J. Vib. Acoust.
,
2 ,
242 -
251
-
9)
-
M.S. Sarma
.
(1979)
Synchronous machines, their theory, stability, and excitation systems.
-
10)
-
P.J. Tavner ,
J. Xiang ,
F. Spinato
.
Reliability analysis for wind turbines.
Wind Energy
,
1 ,
1 -
18
-
11)
-
T.J. Clark ,
R.F. Bauer ,
J.R. Rasmussen
.
Wind power comes of age.
Orbit
,
20 -
27
-
12)
-
A.M. Trzynadlowski ,
M. Ghassemzadeh ,
S.F. Legowski
.
Diagnostics of mechanical abnormalities in induction motors using instantaneous electric power.
IEEE Trans. Energy Convers.
,
4 ,
1417 -
1423
-
13)
-
D.L. Donoho
.
’ Denoising by soft-thresholding.
IEEE Trans. Inf. Theory.
,
3 ,
613 -
627
-
14)
-
Z. Hameed ,
Y.S. Hong ,
Y.M. Cho ,
S.H. Ahn ,
C.K. Song
.
Condition monitoring and fault detection of wind turbines and related algorithms: a review.
Renew. Sustain. Energy Rev.
-
15)
-
P.W. Tse ,
W.X. Yang ,
H.Y. Tam
.
Machine fault diagnosis through an effective exact wavelet analysis.
J. Sound Vib.
,
1005 -
1024
-
16)
-
W.Q. Jeffries ,
J.A. Chambers ,
D.G. Infield
.
Experience with bicoherence of electrical power for condition monitoring of wind turbine blades.
IEE Proc., Vis. Image Signal Process.
,
3 ,
141 -
148
-
17)
-
S. Mallat ,
W.L. Hwang
.
Singularity detection and processing with wavelets.
IEEE Trans. Inf. Theory
,
617 -
643
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