Environmental Engineering Reference
In-Depth Information
Chapter 10
Sensor Fault Diagnosis in Wind Turbines
Manuel Gálvez-Carrillo, Laurent Rakoto and Michel Kinnaert
Abstract This chapter addresses the early detection and isolation of sensor faults
in a systematic and unified way and illustrates the approach on wind turbine
simulation data. Three problems are successively considered: individual signal
monitoring, fault detection and isolation (FDI) in redundant sensors, and FDI
based on analytical redundancy. In all three cases, a specific approach to generate
fault indicators, also called residuals, is presented and combined with an online
statistical change detection/isolation algorithm. The considered case studies con-
sist of wind turbine generator speed monitoring, as well as FDI in the stator current
and voltages of a wind-driven doubly fed induction generator. For the latter
problem, the fact that the three-phase signals are balanced allows one to determine
a simple signal model from which a multiobserver scheme is designed for residual
generation.
Keywords Sensor fault detection and isolation
Statistical change detection/
isolation algorithm
Multiobserver scheme
Three-phase signals
Doubly fed
induction generator
Nomenclature
e
j
jth standard basis vector
f
Additive sensor fault
g
Decision function
i
s,abc
, i
r,abc
Stator and rotor three-phase currents
k
0
Fault occurrence time
