Title :
A modeling method for quality prediction of batch process
Author :
Xiao, Dong ; Wang, Jichun ; Mao, Zhi-zhong
Author_Institution :
Northeastern Univ., Shenyang, China
Abstract :
The traditional MPLS method have the defects of complex structure, extensive calculation, data unevenness in modeling and predicting for the quality prediction of the batch process. Mean value staged MICR method was proposed to overcome the disadvantage. The method used in modeling of tube hollow quality prediction can improve seamless tubes quality effectively. Its obvious benefits are low maintenance cost, good real time function, high reliability precision, and can be used on-line for the prediction and optimization on quality of tube hollow.
Keywords :
batch processing (industrial); independent component analysis; pipes; quality control; signal processing; MPLS method; batch process; complex structure defects; data unevenness; independent component analysis; maintenance cost; mean value staged MICR method; real time function; reliability precision; seamless tubes; signal processing technique; tube hollow quality prediction; Accuracy; Batch production systems; Computational modeling; Data models; Electron tubes; Multiprotocol label switching; Predictive models; ICA; batch processes; quality prediction;
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
DOI :
10.1109/CCDC.2011.5968945
