A new fault diagnosis method for detecting the rotor eccentricity faults including static, dynamic and mixed eccentricity is proposed for brushless doubly-fed induction machines (BDFIMs). BDFIMs are attractive alternatives for the conventional doubly-fed induction generator (DFIG) for offshore wind power generation; therefore, paying attention to their fault detection is essential. Existing fault detection methods for conventional induction machines cannot be directly applied to the BDFIM due to its special rotor structure and stator winding configurations as well as complex magnetic field patterns. This article proposes a novel fault detection method based on motor current signal analysis to determine stator current harmonics, induced by t...
In this paper, faults detection and classification using motor current signature analysis (MCSA) and...
The brushless doubly fed induction generator (BDFIG) has the potential to be employed as a variable ...
Electrical rotating machines have a great economic significance as they enable conversion of energy ...
A new fault diagnosis method for detecting the rotor eccentricity faults including static, dynamic a...
In this paper a new rotor eccentricity fault detection method is proposed for the first time for Bru...
The brushless Doubly Fed Induction Machine (BDFIM) with high reliability and robust structure demons...
© 2017 IEEE. The round rotor induction machine (WRIM) can be described as a doubly fed induction gen...
This study presents a new technique for detecting rotor electrical faults in wind turbine doubly-fed...
© 2017 IEEE. Condition monitoring can diagnose the inception of fault mechanisms in induction motors...
The Brushless Doubly Fed Machine (BDFM) with high reliability and robust structure demonstrates comm...
A significant number of studies have been reported in the literature on the detection of eccentricit...
Induction motors are reliable and widely used in industrialised nations. However induction motors, l...
© 2017 IEEE. Condition monitoring is a standard method for scheduling maintenance and ensuring that ...
The Brushless Doubly Fed Machine (BDFM) with high reliability and robust structure demonstrates comm...
In MW-sized wind turbines, the most widely-used generator is the wound rotor induction machine, with...
In this paper, faults detection and classification using motor current signature analysis (MCSA) and...
The brushless doubly fed induction generator (BDFIG) has the potential to be employed as a variable ...
Electrical rotating machines have a great economic significance as they enable conversion of energy ...
A new fault diagnosis method for detecting the rotor eccentricity faults including static, dynamic a...
In this paper a new rotor eccentricity fault detection method is proposed for the first time for Bru...
The brushless Doubly Fed Induction Machine (BDFIM) with high reliability and robust structure demons...
© 2017 IEEE. The round rotor induction machine (WRIM) can be described as a doubly fed induction gen...
This study presents a new technique for detecting rotor electrical faults in wind turbine doubly-fed...
© 2017 IEEE. Condition monitoring can diagnose the inception of fault mechanisms in induction motors...
The Brushless Doubly Fed Machine (BDFM) with high reliability and robust structure demonstrates comm...
A significant number of studies have been reported in the literature on the detection of eccentricit...
Induction motors are reliable and widely used in industrialised nations. However induction motors, l...
© 2017 IEEE. Condition monitoring is a standard method for scheduling maintenance and ensuring that ...
The Brushless Doubly Fed Machine (BDFM) with high reliability and robust structure demonstrates comm...
In MW-sized wind turbines, the most widely-used generator is the wound rotor induction machine, with...
In this paper, faults detection and classification using motor current signature analysis (MCSA) and...
The brushless doubly fed induction generator (BDFIG) has the potential to be employed as a variable ...
Electrical rotating machines have a great economic significance as they enable conversion of energy ...