Title :
A simple fuzzy statistical evaluation for process control performance
Author_Institution :
Metso Autom., Tampere, Finland
Abstract :
This article presents a simple method for evaluating process control performance improvements by applying fuzzy conditional probability. The fuzzy conditional probability of an unwanted fuzzy event, while a known disturbance fuzzy event is active, is calculated before and after the control improvement. The probability is used as a measurement of the control error. A case study for a boiler control improvement is presented.
Keywords :
boilers; fuzzy control; pressure control; probability; process control; boiler control; case study; control error; disturbance fuzzy event; fuzzy conditional probability; fuzzy statistical evaluation; pressure control; process control performance; unwanted fuzzy event; Boilers; Combustion; Fluidization; Fuels; Fuzzy control; Industrial control; Milling machines; Pressure control; Probability; Process control;
Conference_Titel :
Artificial Intelligence Systems, 2002. (ICAIS 2002). 2002 IEEE International Conference on
Print_ISBN :
0-7695-1733-1
DOI :
10.1109/ICAIS.2002.1048056
