Sensors,
Journal Year:
2024,
Volume and Issue:
25(1), P. 180 - 180
Published: Dec. 31, 2024
The
core
of
this
publication
is
the
design
a
system
for
evaluating
condition
production
equipment
and
machines
by
monitoring
selected
parameters
process
with
an
additional
sensor
subsystem.
main
positive
processing
data
from
layer
using
artificial
intelligence
(AI)
expert
systems
(ESs)
use
edge
computing
(EC).
Sensor
information
processed
directly
at
level
on
monitored
equipment,
results
individual
subsystems
are
stored
in
form
triggers
database
predictive
maintenance
process.
whole
solution
includes
suitable
sensors
implementation
layer,
description
algorithms,
communication
infrastructure
system,
tests
experimental
operation
device
laboratory
conditions.
visualisation
status
operator
interactive
online
map.
Solar Energy and Sustainable Development,
Journal Year:
2025,
Volume and Issue:
14(1), P. 199 - 236
Published: March 4, 2025
The
integration
of
renewable
energy
systems
(RES)
into
microgrids
faces
challenges
from
technical,
economic,
and
socio-environmental
perspectives.
Despite
their
potential
to
address
access
climate
change
challenges,
RES-based
face
significant
barriers,
including
technical
complexities,
economic
constraints,
socio-cultural
resistance,
regulatory
inadequacies,
environmental
concerns.
Some
the
issues,
like
intermittency
lack
compatibility
with
other
sources,
are
managed
by
management
(EMS)
integrated
battery
systems.
These
barriers
include
high
capital
investment
unpredictable
revenue
which
addressable
through
chosen
microgrid
architecture,
flexible
payment
structures,
tariffs.
Community
opposition
local
knowledge
overcome
employing
mitigation
measures
that
pertain
partaking
in
planning
processes
developing
training
programs.
gaps
addressed
use
standardized
policy
as
well
streamlined
permitting
procedures,
while
issues
application
life
cycle
assessment
(LCA)-based
solutions
environmentally
sustainable
materials.
Furthermore,
paper
addresses
more
recent
developments,
artificial
intelligence
(AI),
peer-to-peer
(P2P)
trading,
an
emphasis
on
improvement
prospects.
Finally,
implications
presented,
stressing
need
for
systemic
observed
tendencies.
This
systematically
reviews
multifaceted
integrating
RES
microgrids.
It
presents
innovative
solutions,
AI-driven
management,
modular
designs,
frameworks
enhance
efficiency,
reliability,
sustainability
a
scalable
transition.
review
provides
diverse
view
future
growth
several
insights
stakeholders
related
development
technology
making
transition
sustainable.
Journal of Metaverse,
Journal Year:
2025,
Volume and Issue:
5(1), P. 64 - 72
Published: March 21, 2025
Predictive
maintenance
now
heavily
relies
on
digital
twins
and
the
Internet
of
Things
(IoT),
which
allow
industrial
assets
to
be
monitored
decisions
made
in
real
time.
However,
adding
human
components
conventional
optimization
processes
creates
new
difficulties
as
Industry
5.0
moves
toward
human-centric
systems.
Existing
frameworks
frequently
disregard
preferences,
intuition,
safety
considerations,
makes
operators
distrustful
unwilling
accept
them.
To
enable
predictive
maintenance,
this
paper
presents
a
novel
multi-objective
framework
that
incorporates
feedback
into
IoT-driven
twins.
The
uses
an
enhanced
particle
swarm
(PSO)
algorithm
reconcile
competing
goals,
including
maintaining
operator
safety,
optimizing
asset
reliability,
minimizing
costs.
Furthermore,
tasks
are
adaptively
scheduled
using
built-in
reinforcement
learning
(RL)
optimized
model
parameters
fine-tuned
for
improved
accuracy
Bayesian
optimization.
latter
is
based
real-time
operational
data.
In
addition
promoting
safer
working
environment,
suggested
approach
shows
significant
reduction
unplanned
downtime
This
research
contributes
development
more
resilient,
adaptive,
collaborative
systems
by
aligning
with
principles
5.0.
proposed
was
tested
duration
achieved
improvement
10
100
hours.
further
compared
PSO
algorithm,
demonstrating
its
superiority
7.5%
total
cost
6.3%
decrease
downtime.
These
improvements
contribute
efficiency
better
human-machine
collaboration
unnecessary
interventions
resource
allocation.
IGI Global eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 297 - 314
Published: April 4, 2025
The
economic
and
social
health
of
contemporary
urban
centers
is
greatly
dependent
on
the
transportation
industry.
Transportation
infrastructure
must
be
dependable
efficient
because
any
disruptions
can
have
a
domino
effect
mobility
as
whole.
Predictive
maintenance,
facilitated
by
analysis
big
data,
gives
chance
to
proactively
address
maintenance
needs
minimize
service
interruptions.
use
data
analytics
for
predictive
in
systems
examined
this
chapter.
It
starts
going
over
special
sources
that
are
available
industry,
such
sensor
from
infrastructure,
cars,
traffic
control
systems.
explores
essential
phases
procedure,
encompassing
gathering,
analysis,
modeling,
production
practical
insights.
application
data-driven
various
contexts—such
public
fleets,
road
rail
networks—is
demonstrated
through
several
case
studies.
Photonics,
Journal Year:
2024,
Volume and Issue:
11(11), P. 1082 - 1082
Published: Nov. 18, 2024
This
article
examines
the
role
of
computer
science
in
enhancing
laser
processing
techniques,
emphasizing
transformative
potential
their
integration
into
manufacturing.
It
discusses
key
areas
where
computational
methods
enhance
precision,
adaptability,
and
performance
operations.
Through
advanced
modeling
simulation
a
deeper
understanding
material
behavior
under
irradiation
was
achieved,
enabling
optimization
parameters
reduction
defects.
The
intelligent
control
systems,
driven
by
machine
learning
artificial
intelligence,
examined,
showcasing
how
real-time
data
analysis
adjustments
lead
to
improved
process
reliability
quality.
utilization
computer-generated
diffractive
optical
elements
(DOEs)
emphasized
as
means
precisely
beam
characteristics,
thus
broadening
application
opportunities
across
various
industries.
Additionally,
significance
predictive
analyses
manufacturing
effectiveness
sustainability
is
discussed.
While
challenges
such
need
for
specialized
expertise
investment
new
technologies
persist,
this
underscores
considerable
advantages
integrating
with
processing.
Future
research
should
aim
address
these
challenges,
further
improving
quality,
processes.
