On-line control loop assessment with non-Gaussian statistical and fractal measures

摘要

This paper present results of on-line control loop performance assessment using non-Gaussian statistical and fractal measures. Research shows importance of loop quality indexes that are not biased with Gaussian assumption about signal characteristics. Industrial data show frequent fat-tail properties and thus relevant indexes are proposed, like non-Gaussian statistical factors or persistence fractal measures. There are frequent reports presenting results calculated off-line. The paper extends the analysis to the on-line performance monitoring with non-Gaussian statistical and fractal measures. Results are evaluated through simulations for known scenarios and real industrial variables. Results show detection potential of considered approach.