Performance Analysis of Faults Detection in Wind Turbine Generator Based on High-Resolution Frequency Estimation Methods

Abstract

1 Abstract-Electrical energy production based on wind power has become the most popular renewable resources in the recent years because it gets reliable clean energy with minimum cost. The major challenge for wind turbines is the electrical and the mechanical failures which can occur at any time causing prospective breakdowns and damages and therefore it leads to machine downtimes and to energy production loss. To circumvent this problem, several tools and techniques have been developed and used to enhance fault detection and diagnosis to be found in the stator current signature for wind turbines generators. Among these methods, parametric or super-resolution frequency estimation methods, which provides typical spectrum estimation, can be useful for this purpose. Facing on the plurality of these algorithms, a comparative performance analysis is made to evaluate robustness based on different metrics: accuracy, dispersion, computation cost, perturbations and faults severity. Finally, simulation results in MATLAB with most occurring faults indicate that ESPRIT and R-MUSIC algorithms have high capability of correctly identifying the frequencies of fault characteristic components, a performance ranking had been carried out to demonstrate the efficiency of the studied methods in faults detecting.

Fault diagnosis and condition monitoring of wind turbines

“…Fault diagnosis of wind turbines has been considered in many publications in recent years. The central papers in this topic include: Hameed et al, 7 Marquez et al, 8 Tchakoua et al, 9 Sheng and Veers, 10 Wei et al, 11 Wei and Verhaegen, 12 Saad et al, 13 Watson et al, 14 Gong and Qiao, 15 Feng et al, 16 Amirat et al, 17 Qiao, 18 Hang et al, 19 and Kusiak et al 20 The first 3 papers, Hameed et al, 7 Marquez et al, 8 and Tchakoua et al, 9 are survey papers considering the condition monitoring of wind turbines. In Tchakoua et al, 9 future challenges and new trends are discussed.…”

“…10 In the 2 papers by Wei et al, 11,12 Kalman filters and robust observers are considered for sensor and actuator fault diagnosis. The fault diagnosis of wind turbine generators is investigated in Saad et al 13 and Watson et al 14 Here, frequency estimation and wavelet methods are used. The wind turbine generator is also considered in Gong and Qiao 15 in relation to imbalance faults.…”

Wind Turbine Fault Detection System in Real Time Remote Monitoring

“…Some researchers are proposed failures diagnosis and monitoring of wind turbines generators using impedance spectroscopy (IS) [17][18][19][20][21]. Due mainly to their advantages, high resolution methods (HRM) such as MUSIC, ESPRIT and their zooming techniques having high accuracy can detect frequencies with low SNR [21], [22], [24], [30]. They have been recently introduced in the area of induction motors and wind generators faults diagnosis to improve the detection of a large number of frequencies in a given bandwidth.…”

Fault Diagnosis in Wind Power System Based on Intelligent Techniques

“…The most common methods and techniques of Induction Machine (IM) condition monitoring utilize the steady state components of the stator quantities. These components are; voltage, current and power which can be used to detect; the turn fault, broken rotor bar, bearing failure, and air gap eccentricities [1,2,3,4]. Therefore, in this paper section 2 describes a fault diagnosis in a wind power system.…”