Patent ID: 8473089

Claim:
A method for assessing health status of a processing chamber, comprising: executing a recipe; receiving processing data from a set of sensors during execution of said recipe; analyzing said processing data utilizing a set of multi-variate predictive models; generating a set of component wear data values; comparing said set of component wear data values against a set of useful life threshold ranges; and generating a warning if said set of component wear data values is outside of said set of useful life threshold ranges, wherein said processing data is analyzed by employing at least two different multi-variate predictive models of said set of multi-variate predictive model, wherein said processing data is analyzed by employing a first multi-variate predictive model to generate a first set of component wear data values and employing a second multi-variate predictive model to generate a second set of component wear data values, if differences exist between said first set of component wear data values and said second set of component wear data values, applying said second multi-variate predictive model to said first set of component wear data values, wherein said first set of component wear data values has less noise than said second set of component wear data values.