A Quality Integrated Fuzzy Inference System for the Reliability Estimating of Fluorochemical Engineering Processes

Hypertoxic materials make it critical to ensure the safety of fluorochemical engineering processes. This mainly depends on over maintenance or manual operations due lack precise models and mechanism knowledge. To quantify deviations operating variables product quality from their target values at same time overcome measurement delay quality, a novel integrated fuzzy inference system (QFIS) was proposed estimate reliability operation status as well enhance performance monitoring system. this end, quality-weighted multivariate inverted normal loss function deviation value delay. Vital process were identified according expert Afterward, vital inputs an elaborate By integrating abundant knowledge data-driven prediction model design rules QFIS, not only but also can be monitored on-line. Its superiority in estimating has been strongly proved by application real located East China. Moreover, Tennessee Eastman confirmed its generalization for other complicated black-box chemical