Stator winding fault diagnosis in synchronous generators for wind turbine applications

Abstract

Abstract-Wind turbine manufacturers have introduced to the market a variety of innovative concepts and configurations for generators to maximize energy capture, reduce costs and improve reliability of wind energy. For the purpose of improving reliability and availability, a number of diagnostic methods have been developed. Stator current signature analysis (SCSA) is potentially an effective technique to diagnose faults in electrical machines, and could be used to detect and diagnose faults in wind turbines. In this study, an investigation was conducted into the application of SCSA to detect stator inter-turn faults in an excited synchronous generator and a permanent magnet synchronous generator. It was found from simulation results that, owing to disruption of magnetic field symmetry and imbalance between the current flowing in the shorted turn and the corresponding diametrically opposite turn in the winding, certain harmonic components in the stator current clearly increased as the number of shorted turns increased. The findings are helpful to detect faults involving only a few turns without ambiguity, in spite of the difference in the configuration of the generators. As expected, because of the different type, configuration and operational condition of the two generators studied, detecting faults through the generator current signature requires a particular approach for each generator type.

Multiple faults detection in doubly-fed induction generator wind turbine using artificial neural network

“…Swana and Doorsamy [2] investigates a short-circuit fault involving the inter-turn windings of both the stator and rotor. Additional studies on stator faults are presented in [3], [4], while rotor fault research is documented in studies [5], [6]. The majority of fault detection techniques utilize machine learning methods, including wavelet analysis [5], [7], [8], fast Fourier transform (FFT) [9], current signature analysis [4], [10],…”

Análise transitória de faltas em geradores síncronos no contexto da energia eólica.

“…No trabalho de (IBRAHIM; WATSON, 2016), é apresentado um método para detecção de faltas entre espiras em Electrically Excited Synchronous Generators (EESGs) e Permanent Magnet Synchronous Generators (PMSGs) baseado em Stator Current Signature Analysis (SCSA), apresentando o equacionamento matemático e simulação dos modelos de aerogerador baseado nas topologias mencionadas. O método utiliza análise do espectro de frequências na corrente estatórica para detectar uma ou mais faltas entre os enrolamentos das máquinas.…”