Paskusz, Gerhard F.2022-07-292022-07-29197113911698https://hdl.handle.net/10657/10654The calculation of the standard deviations and mean values of the node voltages of a given network by ECAP are based upon the assumptions that a node voltage e[subscript k] is a linear function of the circuit variables P[subscript j] such that e[subscript k]=[sum][subscript j]K[subscript j]P[subscript j], and that all variable parameters are distributed. Regarding the first assumption, e[subscript k] normally realistically cannot be expected to be linear with respect to all its variable parameters. The second assumption does not hold in some cases where, for example, the variable parameters may be assummed to have uniform distribution. In either case, ECAP analysis will generally not yield the actual mean and standard deviation of node voltages. Therefore it was desirable to modify the ECAP program so that the user may get a more accurate estimate of the mean values and standard deviations. To fulfill this requirement, a computer program using the Monte-Carlo method has been developed. This method generates normally distributed random variable parameters of the network and then calculates the node voltages. From these, in turn, the mean values and standard deviation of node voltages are calculated.application/pdfenThis item is protected by copyright but is made available here under a claim of fair use (17 U.S.C. Section 107) for non-profit research and educational purposes. Users of this work assume the responsibility for determining copyright status prior to reusing, publishing, or reproducing this item for purposes other than what is allowed by fair use or other copyright exemptions. Any reuse of this item in excess of fair use or other copyright exemptions requires express permission of the copyright holder.Thesisreformatted digital