What size net gives valid generalization?
Neural Computation
Practical neural network recipes in C++
Practical neural network recipes in C++
Parametric fault diagnosis for analog systems using functional mapping
DATE '99 Proceedings of the conference on Design, automation and test in Europe
Toward a Competence Theory of Diagnosis
IEEE Expert: Intelligent Systems and Their Applications
Efficient and accurate testing of analog-to-digital converters using oscillation-test method
EDTC '97 Proceedings of the 1997 European conference on Design and Test
Oscillation-test strategy for analog and mixed-signal integrated circuits
VTS '96 Proceedings of the 14th IEEE VLSI Test Symposium
Fault Diagnosis of Power Electronic Circuit Based on Random Forests Algorithm
ICNC '09 Proceedings of the 2009 Fifth International Conference on Natural Computation - Volume 02
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In this paper, Oscillation-Based Diagnosis (OBD) of analog electronic circuits, derived from Oscillation-Based Test (OBT), is described for the first time. OBT is an effective and simple solution to the testing problem of continuous time analog filters. The inadequacy of using an infinite-gain model of the op-amps is demonstrated and a practical implementation of the theoretical concept of OBT is discussed. A realistic model of the op-amp is therefore implemented. A fault dictionary is created and used to perform diagnosis, with artificial neural networks (ANNs) as classifiers. The robustness of the ANN diagnostic concept is demonstrated by the addition of white noise to the ''measured'' signals. The effectiveness of OBD is demonstrated by testing and diagnosis of a second order notch cell, realized with one operational amplifier. Single soft and catastrophic faults are considered in detail and an example of the diagnosis of double soft faults is also presented.