A NEURAL NETWORK BASED SYSTEM FOR SOFT FAULT DIAGNOSIS IN ELECTRONIC CIRCUITS
Journal Title: Metrology and Measurement Systems - Year 2005, Vol 12, Issue 4
Abstract
The paper considers the architecture and the main steps of development of a neural network based system for diagnosis of soft faults in analog electronic circuits. The definition of faults of interest, selection of an optimal set of measurements, feature extraction, the construction of the artificial neural network, training and testing the network, are considered. A fault dictionary method was implemented in the system. Experimental results are presented on an example of diagnosis of a 6-th order bandpass filter. The measuring part of the system performs input-output measurements in the frequency domain with the aid of a HP 4192 Transmitance Analyzer.
Authors and Affiliations
WOJCIECH TOCZEK, MICHAŁ KOWALEWSKI
Keywords
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