Add to ORKGThe possibility of developing diagnostic systems for controllable asynchronous electric drives on the basis of neural networks combined in a decision-making system for the identification of various defects and determination of a rational diagnostic sequence is considered. The number of determinable diagnostic variables of the object permitting relatively reliable defect detection under external perturbations is optimize
Fault detection and diagnosis in real-time are areas of research interest in knowledge-based expert ...
This contribution deals with possibility exploitation artificial neural networks in the area of diag...
Abstract-Induction motors are subject to incipient faults which, if undetected, can lead to serious ...
In this work the strategy of the artificial intelligence (neural networks) is used to detect and loc...
In order to identify any decrease in efficiency and any loss in industrial application a suitable mo...
In this paper, an automatic system of diagnosis was developed to detect and locate in real time the ...
The paper deals with problem model-based of fault detection electrical drive by using neural network...
Real time fault detection and diagnosis (FDD) is an important area of research interest in knowledge...
Diagnosis of faults in complex, real-time control systems is a complicated task that has resisted so...
The paper deals with the analysis of an Artificial Neural Network (ANN) approach suitable for on - l...
An improvement of induction machine rotor fault diagnosis based on a neural network approach is pres...
In this paper an artificial neural network based technique will be introduce, which is capable to s...
In this study, an auto-associative neural network (AANN) is designed as a fault detector using the c...
In this study, an auto-associative neural network (AANN) is designed as a fault detector using the c...
This paper presents a review of the most recent developments in the field of diagnosis of electrical...
Fault detection and diagnosis in real-time are areas of research interest in knowledge-based expert ...
This contribution deals with possibility exploitation artificial neural networks in the area of diag...
Abstract-Induction motors are subject to incipient faults which, if undetected, can lead to serious ...
In this work the strategy of the artificial intelligence (neural networks) is used to detect and loc...
In order to identify any decrease in efficiency and any loss in industrial application a suitable mo...
In this paper, an automatic system of diagnosis was developed to detect and locate in real time the ...
The paper deals with problem model-based of fault detection electrical drive by using neural network...
Real time fault detection and diagnosis (FDD) is an important area of research interest in knowledge...
Diagnosis of faults in complex, real-time control systems is a complicated task that has resisted so...
The paper deals with the analysis of an Artificial Neural Network (ANN) approach suitable for on - l...
An improvement of induction machine rotor fault diagnosis based on a neural network approach is pres...
In this paper an artificial neural network based technique will be introduce, which is capable to s...
In this study, an auto-associative neural network (AANN) is designed as a fault detector using the c...
In this study, an auto-associative neural network (AANN) is designed as a fault detector using the c...
This paper presents a review of the most recent developments in the field of diagnosis of electrical...
Fault detection and diagnosis in real-time are areas of research interest in knowledge-based expert ...
This contribution deals with possibility exploitation artificial neural networks in the area of diag...
Abstract-Induction motors are subject to incipient faults which, if undetected, can lead to serious ...