A statistically based filter.
A simple procedure is developed that uses concepts from statistical process control to filter noise from a process variable. Code is presented for the algorithm, and it is experimentally demonstrated on a pilot-scale process for which both noise and level change significantly and frequently.
Rhinehart
R Russell
RR
School of Chemical Engineering, Oklahoma State University, Stillwater 74078-5021, USA. rrr@okstate.edu
D000465:Algorithms; D003198:Computer Simulation; D015233:Models, Statistical; D011312:Pressure; D012212:Rheology / Q000379:methods; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D013269:Stochastic Processes