Title :
Modeling and Monitoring of Dynamic Processes
Author :
Yingwei Zhang ; Tianyou Chai ; Zhiming Li ; Chunyu Yang
Author_Institution :
State Key Lab. of Synthesis Autom. of Process Ind., Northeastern Univ., Shenyang, China
Abstract :
In this paper, a new online monitoring approach is proposed for handling the dynamic problem in industrial batch processes. Compared to conventional methods, its contributions are as follows: (1) multimodes are separated correctly since the cross-mode correlations are considered and the common information is extracted; (2) the expensive computing load is avoided since only the specific information is calculated when a mode is monitored online; and (3) after that, two different subspaces are separated, and the common and specific subspace models are built and analyzed, respectively. The monitoring is carried out in the subspace. The corresponding confidence regions are constructed according to their respective models.
Keywords :
batch processing (industrial); computerised monitoring; information retrieval; process monitoring; confidence region; cross-mode correlation; dynamic process monitoring; expensive computing load; industrial batch process; information extraction; online monitoring approach; specific subspace model; Batch production systems; Correlation; Furnaces; Monitoring; Principal component analysis; Systematics; Vectors; Common and specific correlations; industrial processes; multimode process monitoring; subspace separation;
Journal_Title :
Neural Networks and Learning Systems, IEEE Transactions on
DOI :
10.1109/TNNLS.2011.2179669
