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dimensional O
features O
and O
residuals S-CONPRI
. O
Subsequently O
, O
an O
online O
dual O
control B-CONPRI
charting E-CONPRI
system O
is O
proposed O
by O
leveraging O
multivariate S-CONPRI
T2 O
and O
Q O
control B-CONPRI
charts E-CONPRI
to O
detect O
changes O
in O
extracted S-CONPRI
low O
dimensional O
features O
and O
residuals S-CONPRI
, O
respectively O
. O
A O
real-world O
case B-CONPRI
study E-CONPRI
of O
thin O
wall O
fabrication S-MANP
using O
a O
Laser B-MANP
Engineered I-MANP
Net I-MANP
Shaping E-MANP
( O
LENS S-MANP
) O
process S-CONPRI
is O
used O
to O
illustrate O
the O
effectiveness S-CONPRI
of O
the O
proposed O
approach O
, O
and O
the O
accuracy S-CHAR
of O
process S-CONPRI
anomaly S-CONPRI
detection O
is O
validated O
based O
on O
X-ray B-CHAR
computed I-CHAR
tomography E-CHAR
information O
collected O
from O
the O
final O
build S-PARA
offline O
. O
In O
order O
to O
establish O
modeling S-ENAT
and O
simulation S-ENAT