Page 52 - Kutnar, Andreja, et al., eds., 2015. Proceedings of the 1st COST Action FP1307 International Conference - Life Cycle Assessment, EPDs, and modified wood. University of Primorska Press, Koper.

se
post-­‐processing
steps
aim
at
both
identifying
the
failure
mechanisms
of
wood
materials

and
detecting
the
early
warning
signs
of
crack
propagation
within
the
material.
Finally,
the

effectiveness
of
the
AE
measurements
is
evaluated
in
terms
of
the
probability
of
detection.

AE
sensors

Figure
1:

Acoustic
emission
experimental
setup
and
mechanical
result.

References

Huang,
N.E.
2005.
Introduction
to
the
Hilbert–Huang
transform
and
its
related
mathematical
problems.

Hilbert–Huang
transform
and
its
applications.

Hamdi,
S.E.,
Le
Duff,
A.,
Simon,
L.,
Plantier,
G.,
Sourice,
A.
and
Feuilloy,
M.
2013.
Acoustic
emission
pattern

recognition
approach
based
on
Hilbert-­‐Huang
transform
for
structural
health
monitoring
in
polymer-­‐
composite
materials.
Applied
Acoustics,
74:
746-­‐757.

Acknowledgments:

The
authors
would
like
to
acknowledge
the
National
Agency
of
Research
(ANR)
for
its
financial
support
of

this
work
through
the
project
CLIMBOIS
ANR-­‐13-­‐JS09-­‐0003-­‐01
as
well
as
the
labelling
of
the
ViaMéca

French
cluster.

40