SPEAKER:
Dr.
Ayman
El-Hag,
Electrical
Engineering
Department,
American
University
of
Sharjah,
Sharjah,
U.A.E.
ABSTRACT:
Partial
Discharge
(PD)
is
a
localized
electrical
discharge
in
the
insulation
or
on
the
surface
of
the
insulation
that
partially
bridges
the
two
conductors.
PD
is
one
of
the
main
reasons
of
aging
of
different
power
system
assets
that
may
eventually
lead
to
their
complete
failure.
When
PD
activities
are
initiated,
the
resulting
energy
is
transformed
into
different
forms
as
mechanical,
electrical,
thermal
and
chemical
energy.
As
a
result,
a
wide
range
of
sensors
and
techniques
can
be
used
to
detect
PD
activities.
In
this
presentation
the
use
of
both
RF
antenna
and
acoustic
emission
sensors
in
PD
detection
for
both
transformers
and
outdoor
insulators
will
be
discussed.
Artificial
intelligent
system
along
with
different
developed
PCB
based
RF
antennas
and
acoustic
emission
sensors
have
been
utilized
to
detect
and
identify
different
types
of
PD
in
transformer
insulation
system.
Three
different
Hilbert
fractal
antennas
have
been
designed
and
tested.
The
three
proposed
designs
show
different
characteristics
each
covering
a
different
range
of
frequencies.
Design
1
has
resonant
frequencies
from
0.5
–
4.0
GHz,
whereas
design
2
operates
at
a
smaller
band
between
0.6
to
2.3
GHz.
On
the
other
hand,
design
3
has
two
main
resonating
bands
at
1.3
–
2.3
GHz
and
3.8
–
4.15
GHz.
Moreover,
a
commercial
RF
antenna
with
a
pass
band
between
1-2
GHz
with
a
corresponding
gain
in
the
range
14.5
-
18
dB
have
been
used
to
detect
different
damages
in
ceramic
insulators.
A
unique
signature
of
the
measured
RF
signals
has
been
found
for
each
defect
which
facilitates
the
use
of
artificial
intelligent
to
automate
the
classification
process.
Also,
electric
field
enhancement
can
cause
PD
initiation
on
non-ceramic
insulators
surface
due
to
water
droplet
and/or
defects
in
the
metallic
hardware.
RF
antenna
acoustic
sensors
have
been
used
to
detect
the
measured
PD
signals.
The
presentation
will
also
address
briefly
the
overall
classification
systems
from
the
feature
selection
till
the
use
of
the
different
classifiers.
BIOGRAPHY:
Dr.
Ayman
El-Hag
received
his
B.S.
and
M.S.
degree
from
King
Fahd
University
of
Petroleum
and
Minerals
and
his
PhD
from
the
University
of
Waterloo
in
1993,
1998
and
2003
respectively.
He
joined
the
Saudi
Transformer
Co.
as
a
Quality
Control
Engineer
from
1993
till
1999.
From
January
till
June
2004,
Dr.
El
Hag
worked
as
a
Postdoctoral
fellow
at
the
University
of
Waterloo
then
he
joined
the
University
of
Toronto
as
a
Postdoctoral
fellow
from
July
2004
till
July
2006.
Currently
Dr.
El-Hag
is
a
professor
in
the
electrical
engineering
department
at
the
American
University
of
Sharjah.
Also,
Dr.
El-Hag
is
an
adjunct
professor
at
the
University
of
Waterloo.
He
is
the
Middle-East
Regional
Editor
of
the
IEEE
DEIS
Electrical
Insulation
Magazine
and
a
member
of
the
IEEE
DEIS
Outdoor
Insulation
Technical
Committee.
Dr.
El-Hag
main
areas
of
interest
are
condition
monitoring
and
diagnostics
of
electrical
insulation
and
pulse
power
applications
in
biological
systems.
Tuesday, July 25, 2017 2:30 pm
-
4:00 pm
EDT (GMT -04:00)