Add to ORKGIn this paper problem of the early induction motors stator faults (the short-circuits) detection and localization supplied from the frequency converter is presented. The method based on the phase shift between stator phase currents is used for the monitoring of the stator winding condition. The special fault location indicator was introduced. The virtual measurement-diagnostic system has been developed implemented in LabVIEW. Possibility of early stator winding fault detection using neural detector is also checked
Induction motors constitute the largest proportion of motors in industry. This type of motor experie...
Due to the fact that inter-turn short-circuits are the ones of the most common causes of damage to s...
Motivated by the superior performances of neural networks and neuro-fuzzy approaches to fault detect...
The paper presents the possibility of using neural networks in the detection of stator and rotor ele...
Electrical winding faults, namely stator short-circuits and rotor bar damage, in total constitute ar...
In this paper deep neural networks are proposed to diagnose inter-turn short-circuits of induction m...
The paper presents application of the radial neural network for detection of faults in induction mot...
This paper presents a methodology for winding stator fault detection of induction motors, using an e...
The intention of fault detection is to detect the fault at the beginning stage and shut off the mach...
The paper deals with the basic problems of misalignment monitoring for induction motor drive. Method...
The paper deals with the analysis of an Artificial Neural Network (ANN) approach suitable for on - l...
This paper deals with the problem of the early stator faults (the short-circuits) detection and loca...
A Multy Layer Perceptron Neural Network able to recognize inter-turn short-circuits in the stator of...
A Multy Layer Perceptron Neural Network able to recognize inter-turn short-circuits in the stator of...
In this paper problem of the early induction motors stator faults (the short-circuits) detection and...
Induction motors constitute the largest proportion of motors in industry. This type of motor experie...
Due to the fact that inter-turn short-circuits are the ones of the most common causes of damage to s...
Motivated by the superior performances of neural networks and neuro-fuzzy approaches to fault detect...
The paper presents the possibility of using neural networks in the detection of stator and rotor ele...
Electrical winding faults, namely stator short-circuits and rotor bar damage, in total constitute ar...
In this paper deep neural networks are proposed to diagnose inter-turn short-circuits of induction m...
The paper presents application of the radial neural network for detection of faults in induction mot...
This paper presents a methodology for winding stator fault detection of induction motors, using an e...
The intention of fault detection is to detect the fault at the beginning stage and shut off the mach...
The paper deals with the basic problems of misalignment monitoring for induction motor drive. Method...
The paper deals with the analysis of an Artificial Neural Network (ANN) approach suitable for on - l...
This paper deals with the problem of the early stator faults (the short-circuits) detection and loca...
A Multy Layer Perceptron Neural Network able to recognize inter-turn short-circuits in the stator of...
A Multy Layer Perceptron Neural Network able to recognize inter-turn short-circuits in the stator of...
In this paper problem of the early induction motors stator faults (the short-circuits) detection and...
Induction motors constitute the largest proportion of motors in industry. This type of motor experie...
Due to the fact that inter-turn short-circuits are the ones of the most common causes of damage to s...
Motivated by the superior performances of neural networks and neuro-fuzzy approaches to fault detect...