Measurement Science and Technology,
Journal Year:
2024,
Volume and Issue:
35(9), P. 096207 - 096207
Published: June 13, 2024
Abstract
Health
status
assessment
is
an
important
measure
for
maintaining
the
safety
of
spacecraft
flywheel
systems.
The
influence
noise,
sensor
quality,
and
other
disturbance
factors
can
lead
to
a
decrease
in
reliability
collected
information.
This
affect
model
accuracy.
Moreover,
loss
belief
frequently
caused
by
opaque
nature
procedure
incomprehensibility
outcomes,
particularly
fields
such
as
aerospace.
It
urgent
maintain
interpretability
successfully
identify
unreliability
observed
data.
Therefore,
this
paper
proposes
system
health
method
under
perturbation
based
on
interpretable
rule
base
with
attribute
(IBRB-r).
First,
calculated
average
distance
method,
new
fusion
proposed
reduce
interference
unreliable
Then,
constraint
strategy
improve
rationality
parameters.
Finally,
validated
case
study
system.
Experiments
show
that
IBRB-r
maintains
high
accuracy
observation
Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 2, 2024
Abstract
Triboelectric
Nanogenerators
(TENGs)
represent
a
novel
energy
harvesting
technology
that
combines
contact
electrification
(CE)
and
electrostatic
induction,
rendering
them
promising
solution
for
self‐powering
micro
smart
devices
addressing
the
crisis.
At
present,
efficiency
longevity
of
TENGs
have
been
substantially
improved
through
various
methods.
These
advancements
overcome
limitations
caused
by
interface
friction,
expanding
scalability
practical
applications
TENGs.
Specifically,
it
has
demonstrated
tribological
optimization
can
simultaneously
enhance
electrical
output
performance
durability.
This
review
will
initially
discuss
fundamental
mechanism
its
profound
connection
with
tribology.
Subsequently,
tribology,
encompassing
structure
design,
surface
modification,
lubricant
utilization,
be
comprehensively
reviewed.
Finally,
current
challenges
future
prospects
summarized.
Advanced Energy Materials,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 10, 2024
Abstract
In
the
era
of
Internet
Things
(IoT)
and
Artificial
Intelligence
(AI),
sensors
have
become
an
integral
part
intelligent
systems.
Although
traditional
sensing
technology
is
very
mature
in
long‐term
development,
there
are
remaining
defects
limitations
that
make
it
difficult
to
meet
growing
demands
current
applications,
such
as
high‐sensitivity
detection
self‐supplied
sensing.
As
a
new
type
sensor,
array
triboelectric
nanogenerators
(TENG)‐based
tactile
can
respond
wide
dynamic
range
mechanical
stimuli
surrounding
environment
converting
them
into
quantifiable
electrical
signals,
thus
realizing
real‐time
The
structure
allows
for
fine
delineation
area
improved
spatial
resolution,
resulting
accurate
localization
quantification
detected
been
widely
used
wearable
devices,
smart
interaction,
medical
health
detection,
other
fields.
this
paper,
latest
research
progress
functional
based
on
arrayed
systematically
reviewed
from
aspects
working
mechanism,
material
selection,
processing,
structural
design,
integration,
application.
Finally,
challenges
faced
by
summarized
with
view
providing
inspiration
guidance
future
development
sensors.
Polymer Composites,
Journal Year:
2024,
Volume and Issue:
45(14), P. 12796 - 12808
Published: June 25, 2024
Abstract
This
research
aimed
to
understand
how
the
incorporation
of
nanocarbon
powder
(NCP)
influences
crashworthiness
performance
glass
fiber‐reinforced
epoxy
(GFRE)
tubular
components,
potentially
offering
insights
into
improving
safety
and
resilience
structures
or
vehicles.
Consequently,
behaviors
circular
tubes
made
GFRE
with
varying
amounts
NCP
was
studied.
Utilizing
wet‐wrapping
through
hand
lay‐up
technique,
were
fabricated
various
weight
percentages
NCP,
that
is,
0,
0.25,
0.50,
1,
2,
3,
4
wt.%.
Following
that,
crashing
load,
total
absorbed
energy
against
displacement
responses,
deformation
histories
these
under
quasi‐static
axial
loading
conditions
calculated
tracked.
As
part
analysis,
critical
indicators
evaluated,
including
initial
peak
load
(),
(U),
mean
crash
force
efficiency
(CFE),
specific
absorption
(SEA).
The
findings
reveal
maximum
,
U,
SEA
noted
at
0.5
wt.%
increasing
percent's
30.80,
12.17,
12.16,
7.50,
respectively,
compared
unfilled
tube.
While,
CFE
recorded
by
3
an
enhancement
16.67%.
It
is
worth
note
inclusion
increases
metrics
up,
a
concentration
0.50
NCP.
However,
beyond
this
point,
there's
notable
decline
in
performance.
Highlights
filled
planned
using
methods.
subjected
compression
loads
examine
their
behavior.
versus
responses
for
exposed.
experimental
results
analyzed
discussed.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Aug. 13, 2024
This
research
introduces
a
new
technique
to
control
constrained
nonlinear
systems,
named
Lyapunov-based
neural
network
model
predictive
using
metaheuristic
optimization
approach.
controller
utilizes
feedforward
as
prediction
and
employs
the
driving
training
based
algorithm
resolve
related
problem.
The
proposed
relies
on
simplicity
accuracy
of
convergence
speed
algorithm.
closed-loop
stability
developed
is
ensured
by
including
Lyapunov
function
constraint
in
cost
function.
efficiency
suggested
illustrated
controlling
angular
three-phase
squirrel
cage
induction
motor.
reached
results
are
contrasted
those
other
methods,
specifically
fuzzy
logic
optimized
teaching
learning-based
algorithm,
PID
with
particle
swarm
comparative
study
showcase
that
provides
good
accuracy,
quickness
robustness
due
obtained
values
mean
absolute
error,
square
error
root
enhancement
percentage,
computing
time
different
simulation
cases,
it
can
be
efficiently
utilized
systems
fast
dynamics.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(18), P. e36933 - e36933
Published: Aug. 26, 2024
Traditional
semiconductor-based
technology
has
recently
faced
many
issues,
such
as
physical
scalability
constraints
and
short-channel
properties.
Much
research
on
nano-scale
designs
resulted
in
these
flaws.
Quantum-dot
Cellular
Automata
(
