Fault detection of analog circuits using neural networks and Monte-Carlo analysis
Mohammadreza Ashouri · 2002
A new fault detection technique for analog circuits is developed. In this method, the circuit is supplied with a ramp shape voltage. The resulting supply current is analysed with a new unsupervised neural network. Simulating different faults and the Monte-Carlo analysis to account for parametric change and tolerances implements the training of the proposed neural network.