Add to ORKGThe paper presents application of the radial neural network for detection of faults in induction motor stator winding. The decision of stator winding condition has been taken using the artificial neural network with radial basis function based on axial flux. The axial flux has been measured for different configuration of stator winding. It can be concluded that the axial flux can be used in detection of faults in induction motor stator winding
Due to the fact that inter-turn short-circuits are the ones of the most common causes of damage to s...
In this paper deep neural networks are proposed to diagnose inter-turn short-circuits of induction m...
In industrial drive systems, one of the widest group of machines are induction motors. During normal...
The paper presents the possibility of using neural networks in the detection of stator and rotor ele...
Diagnostics of electrical machines is complicated process based on such elements as: measurements of...
Abstract: Faults in induction motors may cause a system to fail. Hence it is necessary to detect and...
Abstract. This paper deals with the application of the Radial Basis Function (RBF) networks for the ...
In this paper problem of the early induction motors stator faults (the short-circuits) detection and...
This paper deals with the application of the Radial Basis Function (RBF) networks for the induction ...
The paper deals with the analysis of an Artificial Neural Network (ANN) approach suitable for on - l...
The paper deals with the analysis of an Artificial Neural Network (ANN) approach suitable for on - l...
The paper deals with the analysis of an Artificial Neural Network (ANN) approach suitable for on - l...
The paper deals with the analysis of an Artificial Neural Network (ANN) approach suitable for on - l...
This paper presents a methodology for winding stator fault detection of induction motors, using an e...
This paper presents a methodology for winding stator fault detection of induction motors, using an e...
Due to the fact that inter-turn short-circuits are the ones of the most common causes of damage to s...
In this paper deep neural networks are proposed to diagnose inter-turn short-circuits of induction m...
In industrial drive systems, one of the widest group of machines are induction motors. During normal...
The paper presents the possibility of using neural networks in the detection of stator and rotor ele...
Diagnostics of electrical machines is complicated process based on such elements as: measurements of...
Abstract: Faults in induction motors may cause a system to fail. Hence it is necessary to detect and...
Abstract. This paper deals with the application of the Radial Basis Function (RBF) networks for the ...
In this paper problem of the early induction motors stator faults (the short-circuits) detection and...
This paper deals with the application of the Radial Basis Function (RBF) networks for the induction ...
The paper deals with the analysis of an Artificial Neural Network (ANN) approach suitable for on - l...
The paper deals with the analysis of an Artificial Neural Network (ANN) approach suitable for on - l...
The paper deals with the analysis of an Artificial Neural Network (ANN) approach suitable for on - l...
The paper deals with the analysis of an Artificial Neural Network (ANN) approach suitable for on - l...
This paper presents a methodology for winding stator fault detection of induction motors, using an e...
This paper presents a methodology for winding stator fault detection of induction motors, using an e...
Due to the fact that inter-turn short-circuits are the ones of the most common causes of damage to s...
In this paper deep neural networks are proposed to diagnose inter-turn short-circuits of induction m...
In industrial drive systems, one of the widest group of machines are induction motors. During normal...