Title :
Extension of statistical process control (SPC) methodology to dynamic systems controlled via output feedback
Author_Institution :
Fac. of Civil & Environ. Eng. Technion, Technion - Israel Inst. of Technol., Haifa
Abstract :
A model-free statistical method for detecting failures in dynamic systems controlled via output feedback is described. In such systems, the impact of the failure on the output is minimized but the failure causes a change in the control signal, which can be detected. Assuming that historical data of the process with and without failure is available, optimization theory can be used to determine detection thresholds that ensure any desired level of false alarms or detection rate. The proposed method is illustrated on a hypothetical bio-reactor and the results show that the proposed method allows for both rapid detection of the failure and continued operation despite the failure.
Keywords :
bioreactors; fault diagnosis; feedback; optimisation; statistical process control; dynamic systems; failure detection; false alarms; hypothetical bioreactors; optimization theory; output feedback; statistical process control; Analytical models; Condition monitoring; Control system synthesis; Control systems; Manufacturing processes; Measurement standards; Output feedback; Process control; Quality control; Signal processing; diagnosis; failure detection; monitoring; quality control;
Conference_Titel :
Cybernetics and Intelligent Systems, 2008 IEEE Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-1673-8
Electronic_ISBN :
978-1-4244-1674-5
DOI :
10.1109/ICCIS.2008.4670820
