Prediction of Fouling in Condenser Based on Fuzzy Stage Identification and Chebyshev Neural Network

Measurement Science Review

Zhong Qingchang¹  Fan Shaosheng² 

[1] Department of Automatic Control and Systems Engineering, The University of Sheffield, Mappin Street, S1 3JD, Sheffield, UK;School of Electrical and Information Engineering, Changsha University of Science & Technology , Wangjiali South Road, 960, 410004, Changsha, China;

关键词: fouling prediction;    condenser;    fuzzy stage identification;    chebyshev neural network;    adaptive algorithm;   

DOI  :  10.2478/msr-2013-0017

来源: DOAJ

【 摘 要 】

The prediction of fouling in condenser is heavily influenced by the periodic fouling process and dynamics change of the operational parameters, to deal with this problem, a novel approach based on fuzzy stage identification and Chebyshev neural network is proposed. In the approach, the overall fouling is separated into hard fouling and soft fouling, the variation trends of these two kinds of fouling are approximated by using Chebyshev neural network, respectively, in order to make the prediction model more accurate and robust, a fuzzy stage identification method and adaptive algorithm considering external disturbance are introduced, based on the approach, a prediction model is constructed and experiment on an actual condenser is carried out, the results show the proposed approach is more effective than asymptotic fouling model and adaptive parameter optimization prediction model.

【 授权许可】

Unknown