Multivariate Statistical Process Monitoring
نویسندگان
چکیده
Process safety and environment pollution demands are continuously increasing in the process industry. Apart from that, requirements regarding final product quality and production efficiency are higher and higher [1]. This can be achieved by applying advanced process monitoring and control techniques. Process control is heavily dependent on the quality of the data, so it is crucial to measure as many process variables as it is possible and to develop advanced process measurement system [2, 3]. Production outage can be caused by different abnormal situations: Equipment failure plant failure (e.g. actuator failure), measurement equipment failure (sensor failure), communication system failure (measurement and control data are not transmitted). Large disturbances (when disturbance values exceed compensation limits).
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