NDLI: Texaco Coal Gasification Quality Prediction by Neural Estimator Based on Dynamic PCA

Content Provider	IEEE Xplore Digital Library
Author	Rong Guo Guangxu Cheng Yi Wang
Copyright Year	2006
Description	Author affiliation: Sch. of Energy & Power Eng., Xi'an Jiaotong Univ. (Rong Guo; Guangxu Cheng; Yi Wang)
Abstract	Prediction of syngas compositions, the most important parameter in determining the product's grade and quality control of raw syngas produced in coal gasification process, was studied. A neural estimator model based on improved dynamic principal component analysis (DPCA) and multiple neural networks (MNN) was proposed to infer the syngas compositions from real process variables. DPCA was carried out to select the most relevant process features and to eliminate the correlations of the input variables. To reduce the large computing work of DPCA, the arithmetic of DPCA was predigested by constructing a compressed augmented data matrix on the basis of the autocorrelation analysis for input variables. Neural network model was established and used to characterize the nonlinearity of the process. To improve the robustness and accuracy of the neural networks, the MNN was obtained by stacking multiple neural networks which were developed based on the reorganization of the original data. The implementation of the model was presented and the model was applied to Texaco coal gasification system to predict the syngas compositions. Research results show that the proposed method provides promising prediction reliability and accuracy
Starting Page	2241
Ending Page	2246
File Size	121476
Page Count	6
File Format	PDF
ISBN	1424404657
DOI	10.1109/ICMA.2006.257660
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Principal component analysis Neural networks Multi-layer neural network Input variables Predictive models Quality control Arithmetic Autocorrelation Robustness Stacking Multiple neural networks Texaco coal gasification system Neural estimator Dynamic principal component analysis
Content Type	Text
Resource Type	Article

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