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Presented in this short document is a description of what is called “Advanced” Process Monitoring as described by Hedengren (2013) but related to Startups, Shutdowns and SwitchoverstoOthers (APMSUSDSO). APM is the term given to the technique of estimating or fitting unmeasured but observable variables or "states" using statistical data reconciliation and regression (DRR) in an offline or realtime environment. It is also referred to as Moving Horizon Estimation (MHE) (Robertson et. al., 1996) in Advanced Process Control (APC) which goes beyond simply updating a bias to implement some form of measurement or parameter feedback (Kelly and Zyngier, 2008b). Essentially, the model and data define a simultaneous nonlinear and dynamic DRR problem where the model is either engineeringbased (firstprinciples, fundamental, mechanistic, causal, rigorous) or empiricalbased (correlation, statistical databased, observational, regressed) or some combination of both (hybrid) (Pantelides and Renfro, 2012).
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