13. A method for the analysis of a process having parameter-based faults, comprising: inputting the values of at least two process parameters over time; generating a set of said input values obtained during normal process behavior; creating a learning file for said set of input values, wherein said learning file is arranged for joint statistical analysis of said at least two process parameters; performing a statistical analysis of said learning file so as to detect constellations of parameter values indicative of a fault, thereby to assess a process status; monitoring parameter values of an ongoing process so as to determine a current status of said ongoing process; and providing alerts to a process operator in accordance with said current process status.
13. A method for the analysis of a process having parameter-based faults, comprising: inputting the values of at least two process parameters over time; generating a set of said input values obtained during normal process behavior; creating a learning file for said set of input values, wherein said learning file is arranged for joint statistical analysis of said at least two process parameters; performing a statistical analysis of said learning file so as to detect constellations of parameter values indicative of a fault, thereby to assess a process status; monitoring parameter values of an ongoing process so as to determine a current status of said ongoing process; and providing alerts to a process operator in accordance with said current process status. 14. The method of claim 13 , further comprising generating a model of a statistical distribution of said input values during normal process behavior.