Diagnosis and fault signature analysis of a wind turbine at a variable speed

Abstract

The diagnosis of dynamic linear systems has been studied in a previous paper by using the polynomial representation of each variable. Data validation and gross error detection were investigated. This paper uses fault signature analysis to detect errors in the doubly fed induction generator (DFIG) of a wind turbine. The major contribution of this paper is that the wind turbine is operating at variable speed.

Critical aspects of wind energy systems in smart grid applications

“…This postures additional challenges to the precision and reaction time requirement for fault diagnostic and protection of such faults. In [24][25][26], modelbased approach was used to detect the abnormal physical parameters for DFIG. The major advantage of this approach was being independent from the signal signatures.…”

“…The major advantage of this approach was being independent from the signal signatures. The based on linear assumption technique was also presented in [26] to identify faults. Normally, this technique is not able to apply on non-linear systems, such as generators that are under variable speed operation.…”

Research of Acoustic Emission Testing Method with Application to Monitored for Wind Turbines

“…AE sensors have been used successfully not only in the monitoring of bearings and gearboxes but also for damage detection in blades of a WT as discussed in. Its application is also possible to an in service WT for a real-time rotating blade [13][14][15]. Nondestructive testing techniques using acoustic waves to improve the safety of wind turbine blades are presented, and to enable the assessment of the damage criticality for blades of small WT based on AE data in.…”

Intelligent Control of Wind Energy Conversion Systems

“…(Iyasere et al, 2008) to maximize the energy captured by the wind turbine under low to medium wind speeds by tracking the desired pitch angle and rotor speed, when the wind turbine system nonlinearities structurally uncertain. Concerning other studies, due to the strong requirements of the Wind Energy Field, fault tolerant control of variable speed wind turbine systems has received significant attention in recent years (Bennouna et al, 2009;Gaillard et al, 2007;Odgaard et al, 2009;Ribrant, 2006;Wang et al, 2010;Wei et al, 2010). To maintain the function of closed-loop control during faults and system changes, it is necessary to generate information about changes in a supervision scheme.…”

“…The low-frequency-loop adopts a PI steady-state optimization control strategy, and the high-frequency-loop adopts a robust fault tolerant control approach, thus ensuring the actuator part of the system during failure in normal operation. Fault signature analysis to detect errors in the DFIG of a wind turbine has again been presented (Bennouna et al, 2009). It is well known that observer based design is a very important problem in control systems.…”