In this study, a fault diagnosis model based on magnetic density is proposed to analyse the current characteristics of synchronous generator rotor inter‐turn short circuit and air gap eccentric single fault and composite fault. The model considers the influence of rotor inter‐turn short circuit and air gap eccentricity on air gap magnetic density. According to two main factors, the short circuit turns and eccentric distance, are used to reflect the short circuit and eccentricity of the generator. The detailed parameter input model of the generator can easily and quickly predict the development trend of these current parameters based on the air gap magnetic density. And the phase current is selected as the current parameter. The validity of ...
Abstract Although synchronous generators are robust and long‐lasting equipment of power plants, cons...
In this paper, rotor inter-turn faults in salient-pole synchronous machines are investigated using f...
In this paper, faults detection and classification using motor current signature analysis (MCSA) and...
In this study, a fault diagnosis model based on magnetic density is proposed to analyse the current ...
Shaft voltage often exists in synchronous generators due to the assembly error or various faults aft...
This paper investigates the radial stator vibration characteristics of turbogenerator under the stat...
The generator is a critical component in the hydropower power plant, and detection of its fault cond...
Wind turbine manufacturers have introduced to the market a variety of innovative concepts and config...
This paper analyzes the rotor magnetic potential distribution of one large turbo generator both in n...
The excitation windings of the synchronous generators are generally reliable. However, electrical, m...
The excitation windings of the synchronous generators are generally reliable. However, electrical, m...
Incipient stator winding fault in permanent magnet synchronous wind generators (PMSWGs) is very diff...
Abstract In this study, the rotor loss as well as the temperature variations due to the static air‐g...
The Ph.D. research work presented in this thesis deals with the health monitoring of synchronous gen...
In order to study the impacts of the stator magnetic pull per unit area (MPPUA) characteristics unde...
Abstract Although synchronous generators are robust and long‐lasting equipment of power plants, cons...
In this paper, rotor inter-turn faults in salient-pole synchronous machines are investigated using f...
In this paper, faults detection and classification using motor current signature analysis (MCSA) and...
In this study, a fault diagnosis model based on magnetic density is proposed to analyse the current ...
Shaft voltage often exists in synchronous generators due to the assembly error or various faults aft...
This paper investigates the radial stator vibration characteristics of turbogenerator under the stat...
The generator is a critical component in the hydropower power plant, and detection of its fault cond...
Wind turbine manufacturers have introduced to the market a variety of innovative concepts and config...
This paper analyzes the rotor magnetic potential distribution of one large turbo generator both in n...
The excitation windings of the synchronous generators are generally reliable. However, electrical, m...
The excitation windings of the synchronous generators are generally reliable. However, electrical, m...
Incipient stator winding fault in permanent magnet synchronous wind generators (PMSWGs) is very diff...
Abstract In this study, the rotor loss as well as the temperature variations due to the static air‐g...
The Ph.D. research work presented in this thesis deals with the health monitoring of synchronous gen...
In order to study the impacts of the stator magnetic pull per unit area (MPPUA) characteristics unde...
Abstract Although synchronous generators are robust and long‐lasting equipment of power plants, cons...
In this paper, rotor inter-turn faults in salient-pole synchronous machines are investigated using f...
In this paper, faults detection and classification using motor current signature analysis (MCSA) and...