statisticalprocesscontrol is being used along with classical feedback control systems (which are also termed as engineeringprocesscontrol, EPC) for the purposes of detecting faults and avoiding over adjustment of ...
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statisticalprocesscontrol is being used along with classical feedback control systems (which are also termed as engineeringprocesscontrol, EPC) for the purposes of detecting faults and avoiding over adjustment of the processes. This paper evaluates the effectiveness of integrating SPC with EPC for both fault detection and control. A novel framework for fault detection using Multivariate statisticalprocesscontrol (MSPC) is proposed here and illustrated with a case study. The simultaneous application of MSPC control charts to process inputs and outputs or in other words "joint monitoring" of process inputs and outputs is shown here to provide efficient fault detection capabilities. An example of Heating Ventilation and Air Conditioning (HVAC) systems is simulated here and used as a case study to demonstrate the detection capabilities of the proposed framework. Moreover, the capabilities of the proposed framework were enhanced by inclusion of a corrective action scheme, thus leading to a complete control system with fault detection and correction.
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