A semantic model-based systems engineering approach for assessing the operational performance of metal forming process
Computers & Industrial Engineering,
Год журнала:
2024,
Номер
190, С. 110042 - 110042
Опубликована: Март 4, 2024
Язык: Английский
Multiple energy resources integration in the food industry: A technoeconomic analysis
Journal of Cleaner Production,
Год журнала:
2023,
Номер
426, С. 139055 - 139055
Опубликована: Окт. 3, 2023
Язык: Английский
Techno-economic optimization of a novel industrial hybrid renewable energy system based on the waste-to-X principle
Energy Conversion and Management,
Год журнала:
2024,
Номер
313, С. 118613 - 118613
Опубликована: Июнь 1, 2024
Язык: Английский
Design and Characterisation of Salt-E-Skin: Soft Saline-Filled Large-Scale Tactile E-Skin
Опубликована: Апрель 14, 2024
With
the
rise
of
soft
robotics,
a
wide
range
sensorised
skins
have
been
proposed
and
developed.
One
particular
group,
fluidic
electronic
skins,
shown
to
be
promising
but,
so
far,
limited
small
scales.
Here,
we
present
large-scale
(35,440
mm
2
)
sensory
skin
that
uses
an
embedded
channel
system
filled
with
saline
which
is
aimed
work
as
prosthetic
liner.
Mechanical
forces
on
translate
into
deformations
can
measured
by
changes
in
impedance
through
external
electrodes.
We
developed
novel
fabrication
process
based
methods
commonly
used
prosthodontics
jewellery
making
overcome
challenges
related
larger
size
skin.
tested
two
machine
learning
techniques,
i.e.,
artificial
neural
networks
random
forests,
learn
mapping
location
physical
interaction.
The
results
provide
new
insights
how
improve
design,
particular,
structure
increase
performance.
Язык: Английский
Nonparametric Soft Sensor Development for Distillation-In-Series Unit
2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM),
Год журнала:
2024,
Номер
unknown, С. 647 - 651
Опубликована: Май 20, 2024
Oil
refining
is
an
energy-intensive
process
that
continuously
separates
petroleum
products.
Refining
companies
are
interested
in
products
meet
all
regulations
and
the
efficiency
of
their
production.
It
possible
to
achieve
cost
minimization
increase
quality
output
product
by
using
accurate
soft
sensors
can
reliably
predict
real
time.
In
this
regard,
research
on
construction
reliable
industrial
production
necessary
relevant.
To
improve
estimation
capability,
alternating
conditional
expectation
algorithm,
which
based
nonparametric
optimal
transformations,
was
used
for
sensor
design.
As
a
result,
designed
shows
better
predicting
index
target
distillation
with
significantly
reduced
root
mean
square
error
compared
multiple
linear
regression
analysis.
Язык: Английский
Toward Enhanced Efficiency: Soft Sensing and Intelligent Modeling in Industrial Electrical Systems
Processes,
Год журнала:
2024,
Номер
12(7), С. 1365 - 1365
Опубликована: Июнь 30, 2024
This
review
article
focuses
on
applying
operation
state
detection
and
performance
optimization
techniques
in
industrial
electrical
systems.
A
comprehensive
literature
was
conducted
using
the
preferred
reporting
items
for
systematic
reviews
meta-analyses
(PRISMA)
methodology
to
ensure
a
rigorous
transparent
selection
of
high-quality
studies.
The
examines
detail
how
soft
sensing
technologies,
such
as
estimation
Kalman
filtering,
along
with
hybrid
intelligent
modeling
techniques,
are
being
used
enhance
efficiency
reliability
industry.
Specific
case
studies
analyzed
areas
network
monitoring,
fault
high-voltage
equipment,
energy
consumption
plants.
PRISMA
facilitated
identification
synthesis
most
relevant
studies,
providing
robust
foundation
this
review.
Additionally,
explores
challenges
research
opportunities
these
specific
contexts,
steel
metallurgy
chemical
engineering.
By
incorporating
findings
from
meticulously
selected
work
offers
detailed,
engineering-oriented
insight
into
advanced
technologies
transforming
processes
achieve
greater
operational
safety.
Язык: Английский