Environmental Engineering Reference
In-Depth Information
Fig. 10.11 Measured stator
and rotor currents during
a fault in sensor i s ; c b fault in
sensor i r ; b
(a)
0.8
i s,c
0.75
0.7
0.65
0.6
0.5
1
1.5
2
2.5
0.8
0.7
0.6
0.5
0.5
1
1.5
2
2.5
time [s]
(b)
0.6
0.3
0
−0.3
−0.6
8
8.5
9
9.5
10
i r,a
i r,b
i r,c
0.6
0.3
0
−0.3
−0.6
8
8.5
9
9.5
10
time [s]
10.6 Conclusion
Three issues have successively been considered, namely single sensor monitoring,
FDI in redundant sensors, and analytical redundancy for sensor FDI. In all cases, a
decision system based on a recursive statistical change detection/isoltion algorithm
has been used.
The algorithm for excessive noise detection has been applied to generator speed
measurements in a wind driven DFIG. These data were obtained from a wind
turbine simulation corresponding to realistic wind conditions.
Analytical redundancy has been applied to FDI of stator voltage and current
sensors. It has been emphasized that a simple signal model can be used, accounting
for the balanced nature of the three-phase signals. This allows one to avoid the use
of a model of induction generator, which is subject to parameter changes, for FDI.
In
the
validation
involving
simulated
data
from
a
controlled
DFIG,
the
 
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