Electronic Research Archive,
Journal Year:
2023,
Volume and Issue:
31(10), P. 6327 - 6346
Published: Jan. 1, 2023
<abstract>
<p>Aiming
at
the
problem
that
extraction
effect
of
abnormal
vibration
characteristics
current
engineering
electric
drive
construction
machinery
is
poor,
an
automatic
detection
method
proposed.
Firstly,
data
mechanical
are
collected
and
identified,
based
on
identification
results,
dynamic
characteristic
model
constructed.
The
empirical
mode
decomposition
Hilbert
spectrum
used
to
decompose
machinery,
calculate
response
amplitude
time
lag
value
generated
by
operation
simplify
diagnosis
steps
realize
positioning
transverse
torsional
characteristics.
Finally,
through
experiments,
it
was
confirmed
has
high
accuracy,
which
can
better
ensure
healthy
equipment.
This
endeavor
aims
establish
scientific
methodologies
standards
for
fault
techniques
in
ultimately
forging
a
versatile
solution
suited
detecting
resolving
issues
across
various
categories
equipment.</p>
</abstract>
Frontiers in Physics,
Journal Year:
2024,
Volume and Issue:
11
Published: Jan. 4, 2024
Emergency
disposal
is
a
critical
aspect
for
railway
stations
to
ensure
safety.
This
requires
the
implementation
of
emergency
plan
simulations
and
cost-effective
immersive
drills.
In
paper,
we
incorporate
set
disposals
events
into
processes
model
personnel,
supplies,
equipment
create
multiple
scenarios.
Additionally,
introduce
digital
twin-based
solution
scenarios
emergencies.
completely
restores
key
components
station
in
information
space
provides
an
way
disposals.
The
four-dimensional
used
simulates
interacts
with
station,
it
composed
details
passenger
physical
entity,
multi-scenario
virtual
twin
connection,
service.
versatile
such
as
fire
disaster,
natural
disaster
(e.g.,
flood,
earthquake),
social
security
incident,
public
health
event
have
been
constructed
using
model.
was
tested
at
Qinghe,
during
Beijing-Zhangjiakou
high-speed
China.
By
utilizing
actual
operation
data
validated
drills,
simulated
corresponding
plans,
assessed
proposed
from
three
aspects:
fidelity
real-world
simulation,
coverage
scenarios,
user-friendliness.
evaluations
indicate
that
attains
good
score
acceptable
level
system
usability
scale.
The
digital
twin
is
an
electronic
representation
of
actual
or
intended
entity,
process,
system
(the
physical
twin)
that
serves
as
a
counterpart
effectively
indistinguishable
from
the
system,
process.
A
has
been
envisioned
its
inception
premise
for
Product
Lifecycle
Management
and
tool
used
throughout
entire
lifecycle
entity
(create,
build,
operate/support,
dispose).
Due
to
granularity
information,
depends
on
use
cases
it
created
for.
It
possible
common
exist
before
does.
Simulating
modeling
entity's
with
at
creation
phase.
prototype
explore
issues
real
synchronized
corresponding
real-time
scenario
challenges
be
handled.
purpose
twins
create
companions
objects
using
3D
modeling.
In
this
way,
can
projected
into
world
while
displaying
their
status.
For
instance,
when
sensors
gather
data
connected
devices,
they
update
"digital
twin"
replica
device's
state
in
time.
This
technology
alternatively
referred
"device
shadow."
properties
are
accurate
up-to-date
object's
such
shape,
movement,
direction,
appearance
states,
position.
Monitoring,
diagnostics,
prognostics
performed
optimize
asset
performance.
prognostic
outcome
improved
by
combining
predicted
result,
sensory
past
data,
experts
reinforcement
learning.
As
find
root
cause
improve
productivity
complex
intelligent
maintenance
systems.
automotive
application,
autonomous
vehicles
sensor
suites
incorporated
path
travel
have
also
suggested
way
remove
obstacles
development,
testing,
validation,
especially
artificial
intelligence
approaches
develop
algorithms,
which
require
more
training
validation
sets.
Many
industrial
supported
technology,
manufacturing
industry,
urban
planning
construction
healthcare
etc.
