The detection of out-of-control states and the diagnosis of the source
s of disturbances are two important tasks for Statistical Process Cont
rol (SPC). A methodology for performing SPC in chemical processes is p
roposed here. This approach utilizes a process model and state estimat
ion techniques. By using this approach, disturbance can be detected an
d isolated from possible sources.