In the case of digital circuits, the possible defects in a circuit may be modelled by faults such as the singlestuck fault model and bridging faults. Thus a very large numbe of possible defects may be reduced to a relatively small number of faults. In digital fault simulation, a number of copies of the circuit are made, each of which contains exactly one fault, together with the fault-free circ...

In this study we model the daily rainfall occurrence using Markov Chain Analogue Yearmodel (MCAYM) and the intensity or amount of daily rainfall using three different probability distributions; gamma, exponential and mixed exponential distributions. Combining the occurrence and intensity model we obtain Markov Chain Analogue Year gamma model (MCAYGM), Markov Chain Analogue Year exponentia...

This paper will describe a fault simulation tool for analogue and mixed-signal circuits based on the HSpice circuit simulator and a graphical user interface (GUI)/Integration tool created using Tcl/Tk. The structure and use of the tool is demonstrated with example to the fault-free and fault simulation of a weighted-current Digital to Analogue Converter (DAC). Fault simulation techniques utilis...

The traditional dilemma for performing network simulations with analog circuits is the great difficulty of handling the connectivity in hardware. The main problem is that hardware-based connectivity must be built following predefined plasticity and connectivity rules, and that once the hardware is built, it is usually not possible to change its configuration. We show here an alternative system ...

A technique for parameterising the macromodels of analogue circuit blocks under fault conditions is described. The technique uses a Robust Heteroscedastic Probabilistic Neural Network to classify simulation data. A large reduction in the number of fault classes can be obtained. The classification process is fast and the macromodels generated are accurate.