Analog fault detection using a neuro fuzzy pattern recognition method

Authors:
Reza Asgary;Karim Mohammadi
Affiliations:
IranUniversity of Science and Technology, Department of Electrical engineering;IranUniversity of Science and Technology, Department of Electrical engineering
Venue:
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Year:
2005

Citing 1
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Abstract

There are different methods for detecting digital faults in electronic and computer systems. But for analog faults, there are some problems. This kind of faults consist of many different and parametric faults, which can not be detected by digital fault detection methods. One of the proposed methods for analog fault detection, is neural networks. Fault detection is actually a pattern recognition task. Faulty and fault free data are different patterns which must be recognized. In this paper we use a probabilistic neural network to recognize different faults(patterns) in analog systems. A fuzzy system is used to improve performance of network. Finally different network results are compared.