When we expect about something that does not treat as it should be, we are initiating the process of diagnosis. Diagnosis is a commonly used activity in our everyday lives (Benjamins & Jansweijer, 1990). Complicated systems are always prone to faults or failures. In the simplest term, a fault is every change in a system that prevents it from operating in the proper manner. We define diagnosis as the task of identifying the cause and location of a fault manifested by some observed behaviour. Basically this is two-stage process: first the fact that fault has occurred must be recognized – this is referred to as fault detection. That is, in general, achieved by testing. Secondly, the nature and location should be determined such that ap...
Multi-frequency test can maximize differences between the failure state and the normal state of the ...
This book provides a comprehensive set of characterization, prediction, optimization, evaluation, an...
AbstractThis contribution gives a survey on the state of the art in artificial intelligence applicat...
“This material is presented to ensure timely dissemination of scholarly and technical work. Copyrigh...
AbstractThe electronic circuit diagnostic problem is roughly formulated and subdivided into six subp...
Diagnosis, in its most general meaning, is the process aimed at identifying the causes that have pro...
Feed-forward artificial neural networks (ANNs) have been applied to the diagnosis of nonlinear dynam...
This paper discusses the application of neural network pattern analysis algorithms to the IC fault d...
Abstract Testing circuits is a stage of the produc-tion process that is becoming more and more impor...
A novel analog circuit fault diagnosis method is proposed. This method uses a neural network paradig...
Abstract — In this paper, we apply artificial neural networks (ANNs) to the diagnosis of a mixed-mod...
The paper focuses on the application of artificial intelligent techniques in fault detection and dia...
n this paper a fault diagnosis technique, which employs neural networks to analyze signatures of ana...
The paper presents construction of the fuzzy logic system to analog circuits soft fault diagnosis. T...
An automated circuit diagnostic tool implementing R. Reiter\u27s theory of diagnosis (1987) based on...
Multi-frequency test can maximize differences between the failure state and the normal state of the ...
This book provides a comprehensive set of characterization, prediction, optimization, evaluation, an...
AbstractThis contribution gives a survey on the state of the art in artificial intelligence applicat...
“This material is presented to ensure timely dissemination of scholarly and technical work. Copyrigh...
AbstractThe electronic circuit diagnostic problem is roughly formulated and subdivided into six subp...
Diagnosis, in its most general meaning, is the process aimed at identifying the causes that have pro...
Feed-forward artificial neural networks (ANNs) have been applied to the diagnosis of nonlinear dynam...
This paper discusses the application of neural network pattern analysis algorithms to the IC fault d...
Abstract Testing circuits is a stage of the produc-tion process that is becoming more and more impor...
A novel analog circuit fault diagnosis method is proposed. This method uses a neural network paradig...
Abstract — In this paper, we apply artificial neural networks (ANNs) to the diagnosis of a mixed-mod...
The paper focuses on the application of artificial intelligent techniques in fault detection and dia...
n this paper a fault diagnosis technique, which employs neural networks to analyze signatures of ana...
The paper presents construction of the fuzzy logic system to analog circuits soft fault diagnosis. T...
An automated circuit diagnostic tool implementing R. Reiter\u27s theory of diagnosis (1987) based on...
Multi-frequency test can maximize differences between the failure state and the normal state of the ...
This book provides a comprehensive set of characterization, prediction, optimization, evaluation, an...
AbstractThis contribution gives a survey on the state of the art in artificial intelligence applicat...