Performance analysis for online chemical process optimization systems

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Online optimization is widely used in the chemical process industries to ensure competitiveness though a high level of process performance. Common applications of online optimization in these industries include real-time optimization (RTO), model-predictive control (MPC), reactive scheduling, supply-chain optimization, and so forth. These online optimization technologies are, typically, complex and require regular maintenance to ensure their continued high performance (i.e., the performance of these automation systems degrade over time due to a number of factors). Thus, a key, but currently missing, element of online optimization systems is an effective performance analysis subsystem, which would include: performance monitoring, failure detection, and failure diagnosis.