1. A method of monitoring a process and a data source and determining their condition, comprising the steps of: collecting initial data from a data source characteristic of a process; producing a first set of virtual data including the step of applying a system state analyzation to the initial data from the data source; producing a second set of virtual data including the step of applying a neural network analyzation to the initial data from the data source; analyzing the first and second set of virtual data and also the initial data to provide a decision about at least one of the condition of the process and condition of the data source; and using a computer to perform a parity space analyzation of the first and second set of virtual data and also of the initial data to provide a parity space decision information set about at least one of the condition of the process being monitored and the condition of the data source, thereby determining whether at least one of the process and the data source is deviating from a particular state.