TY - JOUR
T1 - Decentralized Fault Diagnosis of Continuous Annealing Processes Based on Multilevel PCA
AU - Liu, Qiang
AU - Qin, S. Joe
AU - Chai, Tianyou
PY - 2013/7
Y1 - 2013/7
N2 - Process monitoring and fault diagnosis of the continuous annealing process lines (CAPLs) have been a primary concern in industry. Stable operation of the line is essential to final product quality and continuous processing of the upstream and downstream materials. In this paper, amultilevel principal component analysis (MLPCA)-based fault diagnosis method is proposed to provide meaningful monitoring of the underlying process and help diagnose faults. First, multiblock consensus principal component analysis (CPCA) is extended to MLPCA to model the large scale continuous annealing process. Secondly, a decentralized fault diagnosis approach is designed based on the proposed MLPCA algorithm. Finally, experiment results on an industrial CAPL are obtained to demonstrate the effectiveness of the proposed method. © 2012 IEEE.
AB - Process monitoring and fault diagnosis of the continuous annealing process lines (CAPLs) have been a primary concern in industry. Stable operation of the line is essential to final product quality and continuous processing of the upstream and downstream materials. In this paper, amultilevel principal component analysis (MLPCA)-based fault diagnosis method is proposed to provide meaningful monitoring of the underlying process and help diagnose faults. First, multiblock consensus principal component analysis (CPCA) is extended to MLPCA to model the large scale continuous annealing process. Secondly, a decentralized fault diagnosis approach is designed based on the proposed MLPCA algorithm. Finally, experiment results on an industrial CAPL are obtained to demonstrate the effectiveness of the proposed method. © 2012 IEEE.
KW - Fault diagnosis
KW - Industrial processes
KW - Principal component analysis (PCA)
KW - Process monitoring
UR - http://www.scopus.com/inward/record.url?scp=84892564502&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84892564502&origin=recordpage
U2 - 10.1109/TASE.2012.2230628
DO - 10.1109/TASE.2012.2230628
M3 - RGC 21 - Publication in refereed journal
SN - 1545-5955
VL - 10
SP - 687
EP - 698
JO - IEEE Transactions on Automation Science and Engineering
JF - IEEE Transactions on Automation Science and Engineering
IS - 3
ER -