TY - JOUR
T1 - Dynamic concurrent kernel CCA for strip-thickness relevant fault diagnosis of continuous annealing processes
AU - Liu, Qiang
AU - Zhu, Qinqin
AU - Qin, S. Joe
AU - Chai, Tianyou
PY - 2018/7
Y1 - 2018/7
N2 - The practitioners are concerned with strip-thickness relevant faults of steel-making cold-rolling continuous annealing process (CAP) which is a typical dynamic nonlinear process. In this paper, a novel data-driven dynamic concurrent kernel canonical correlation analysis (DCKCCA) approach is proposed for the diagnosis of the CAP strip thickness relevant faults. First, a DCKCCA algorithm is proposed to capture dynamic nonlinear correlations between strip thickness and process variables. Strip thickness specific variations, process-specific variations, and thickness-process covariations are monitored respectively. Secondly, a multi-block extension of DCKCCA is designed to compute the contributions according to block partition of lagged variables, in order to help localize faults relevant to abnormal strip thickness. Finally, the proposed methods are illustrated by the application to a real continuous annealing process.
AB - The practitioners are concerned with strip-thickness relevant faults of steel-making cold-rolling continuous annealing process (CAP) which is a typical dynamic nonlinear process. In this paper, a novel data-driven dynamic concurrent kernel canonical correlation analysis (DCKCCA) approach is proposed for the diagnosis of the CAP strip thickness relevant faults. First, a DCKCCA algorithm is proposed to capture dynamic nonlinear correlations between strip thickness and process variables. Strip thickness specific variations, process-specific variations, and thickness-process covariations are monitored respectively. Secondly, a multi-block extension of DCKCCA is designed to compute the contributions according to block partition of lagged variables, in order to help localize faults relevant to abnormal strip thickness. Finally, the proposed methods are illustrated by the application to a real continuous annealing process.
KW - Dynamic concurrent kernel canonical correlation analysis
KW - Dynamic nonlinear process
KW - Fault diagnosis
KW - Process modeling
KW - Process monitoring
UR - http://www.scopus.com/inward/record.url?scp=85019118645&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85019118645&origin=recordpage
U2 - 10.1016/j.jprocont.2016.11.009
DO - 10.1016/j.jprocont.2016.11.009
M3 - RGC 21 - Publication in refereed journal
SN - 0959-1524
VL - 67
SP - 12
EP - 22
JO - Journal of Process Control
JF - Journal of Process Control
ER -