Hybrid design of robust univariate industrial alarm systems for nonlinear processes under uncertainty

摘要

We consider the problem of robust alarm design for chemical processes represented by stochastic state space models (SSMs). Alarm design for such complex processes faces three important challenges: 1) processes exhibit highly nonlinear behavior; 2) state variables are not precisely known (modeling error) and often unmeasured (hidden); and 3) process signals are not necessarily Gaussian, stationary or uncorrelated. We propose the design of a delay-timer alarm for monitoring unmeasured latent variables. The proposed design reduces the false and missed alarm rates. To deal with non-stationary process behaviour in normal and abnormal operations, we propose a worst-case and average-case delay-timer alarm design.