1. A method of detecting faults, comprising: receiving process data that includes a plurality of process variables; adapting one or more multivariate statistical models according to the process data, wherein adapting includes applying a change to at least one univariate statistic of the one or more multivariate statistical models if the change is greater than a threshold value; and using the one or more adapted multivariate statistical models to analyze subsequent process data to detect faults.