Intelligent integrated predictive model for BTP in lead-zinc sintering process. (13th September 2010)

• Record Type: Journal Article
• Authors: Wang, Chun-Sheng; Wu, Min
• Is Part Of: International journal of engineering systems modelling and simulation. Volume 2:Number 3(2010)
• Page Start: 162
• Page End: 168
• Publication Date: 2010-09-13
• Subjects: lead zinc sintering process -- LZSP -- burning through point -- BTP -- fuzzy T-S predictive models -- fuzzy relation predictive models -- fuzzy classifiers -- integrated predictive modelling -- vertical burning speed -- numerical simulation -- uncertainty; Engineering systems -- Computer simulation -- Periodicals; Engineering systems -- Mathematical models -- Periodicals; 620.0042
• Languages: English
• ISSNs: 1755-9758

Abstract

Based on the uncertainty of vertical burning speed and the abnormal sintering states in lead-zinc imperial sintering process, an intelligent integrated predictive model for burning through point (BTP) is proposed. First, a fuzzy T-S predictive model based on the character of piecewise linearity is established to deal with the uncertainty of vertical burning speed. Then, considering the sintering states may be abnormal, a fuzzy relation predictive model based on expert experience is also established. In the end, an integrated predictive model based on the fuzzy T-S predictive model and the fuzzy relation predictive model is presented by combining these two models with a fuzzy classifier. Results of numerical simulation show that the integrated predictive model is more accurate and robust against the uncertainty of vertical burning speed.