industrial panel meeting may 13 2008 pg group research portfolio patrick gaydecki and bosco...
TRANSCRIPT
![Page 1: Industrial Panel Meeting May 13 2008 PG Group Research Portfolio Patrick Gaydecki and Bosco Fernandes School of Electrical and Electronic Engineering University](https://reader034.vdocuments.us/reader034/viewer/2022042821/56649d1f5503460f949f3bea/html5/thumbnails/1.jpg)
Industrial Panel MeetingMay 13 2008
PG Group Research Portfolio
Patrick Gaydecki and Bosco Fernandes
School of Electrical and Electronic EngineeringUniversity of Manchester
PO Box 88Manchester M60 1QD
United Kingdom
Tel: [UK-44] (0) 161 306 4906
www.eee.manchester.ac.uk/research/groups/sisp/research/dsp
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Inductive Scan Imaging
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• Inductive scan imaging systems generate images of embedded steel by analysing the response of a time-varying magnetic field that is impressed on the material by resonant transmitter coils.
• Since 1996 the team has published over 40 papers to journals and conference proceedings
• By exploiting both the changes in impedance and inductance of the coil, corrosion can be imaged.
• The team is now developing a system to detect corrosion in the pre-stressing wire of concrete pipes.
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peakpeakdetectordetector ripple filterripple filter precisionprecision
offset nulloffset null
filter/filter/gaingain
referencereferenceoscillatoroscillator
phasephasedetectordetector
frequency tofrequency tovoltagevoltage
converterconverter
Sensing Sensing CoilCoil
DACDAC ADCADC
processor forprocessor forfiltering andfiltering and
controlcontrollocallocal
memorymemory
com
ms
com
ms
po
rtp
ort
real-timereal-timeDSP systemDSP system
TheImaging Sensor
precisionprecisionoffset nulloffset null
filter/filter/gaingain
tunedtunedoscillatoroscillator
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Early Experimental Configuration
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Image from Sensorbar diameter = 16mm, upper bar depth = 20mm
scan height = 20mm above surface
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-0.01
0.01
0.03
0.05
0.07
0.09
0.11
0.13
0.15
0.17
0 50 100 150 200 250 300
Scan Distance (mm)
Sen
sor
Res
pons
e (V
olt)
Measured Signal
Fitted Pearson VII Function
-0.01
0.01
0.03
0.05
0.07
0.09
0.11
0.13
0.15
0.17
0 50 100 150 200 250 300
Scan Distance (mm)
Sen
sor
Res
pons
e (V
olt)
Measured Signal
Fitted Pearson VII Function
Peak Position, xp
Peak Intensity, vPeak Intensity, v
Full Width at Half Height, w
Determination of Scan Profile Parameters
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Curve Fitting Approach
• Fit a curve to the sensor response (Pearson VII function).
• Extract the peak parameters: peak value and full width at half height.
• Use a curve-fitting model or train a neural network on the extracted peak parameters to estimate the bar dimensional information.
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741195230 031560 ./.. ))(.(.),( vwvwvd
5501650020 .. )(.),( vwwv
390230 0331326 .. ).(.),( vvd
2
cosx
2
siny
dz
3-D Bar Visualisation
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3x3 bar mesh using 16mm bar size. The top layer is at depth of 30 mm.
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Calculated Items Top Layer Bottom Layer
1 (v1, w1) 16.40 16.61
2 (v2, w2) 16.39 16.54
3 (v3, w3) 16.65 16.54
d1 (v1, =16) 29.65 45.70
d2 (v2, =16) 29.75 46.01
d3 (v3, =16) 30.26 45.42
d1 (v1, w1) 29.77 46.26
d2 (v2, w2) 29.88 46.52
d3 (v3, w3) 30.55 45.92
Dimensional Result : 16mm Bars, Scan Depth 30mm
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Image Result : 16mm Bars, Scan Depth 30mm
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Imaging of Steel Bars Located behind a Ferrous Steel Layer
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subtractionsubtraction
amplificationamplification
power power amplifieramplifier
functionfunctiongeneratorgenerator
3 Coil Configuration
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Coil Arrangement
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Bars placed under a 0.5mm thick mild steel plate
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Broken bar placed under a 2 mm thick mild steel plate
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Corrosion Detection, Imaging and Quantification
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Corrosion Quantification: Experimental Setup
The accelerated corrosion system
The bar samples
3x2 samples from each bar size
solution concentration of 0.2%
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Corrosion Quantification: Initial Results
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Image of steel bar and of corrosion product (Q-detection)
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Image of corrosion product and steel bar(phase-detection)
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Image from Heterodyne output
bar diameter = 20mm, scan height = 30mm above surface
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Qualitative corrosion estimation
bar diameter = 20mm, bar length = 200mm, scan height = 25mm
Corrosion thickness (R.H.S) = 0.1mm
Corrosion thickness (R.H.S) = 1mm
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The Solid State Magnetic Field Camera(mFIC)
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System Configuration
• Previous studies have shown that a 2D array with a minimum 33 x 33 sensor elements will provide sufficient information to allow the generation of a high resolution images using image interpolation techniques.
• It has also been shown that in a 3D spatial orientation, the vertical component of the magnetic flux density (Bz) is the most favourable for image generation, since the image is easy to interpret and can readily be applied to reconstruct the object’s geometry.
• In these experiments we have deployed a 1D linear array of 33 fix solid-state sensors oriented along the Bz axis, in conjunction with a 300 x 40 mm rectangular coil, to produce line scan readings similar to those obtained previously in a traditional 2D scan comprising a single sensor.
• A third generation mFIC has also been constructed, which comprises a 2D array of 33 x 33 sensor elements, which scans electronically and has no moving parts (discussed at the end of this report). However, it was deemed that the system was not optimised for the present feasibility tests and was therefore not used.
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Linear Array (1D) System Design
• The PCB sensor array was constructed using 33 MI solid-state sensors (PNI Corp. PNI Sen-s65) spaced with a pitch of 9.325 mm and aligned in a sensor probe that was vertically mounted in order to measure the magnetic flux density along the Z axis (Bz).
• Each sensor has a total field range from –11 to +11 gauss, with a typical resolution of approximately 0.015 µT.
• The readings from each sensor were acquired and digitised sequentially by using an Application Specific Integrated Circuit (ASIC) module, controlled from a central DSP microprocessor unit. The DSP unit also coordinated the multiplexing and data acquisition via an SPI interface.
• Data were stored in memory during the scan and finally transmitted to a computer via an RS 232 interface.
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S 8S 8S 8S 8
S 2S 2S 2S 2
S 7S 7S 7S 7
S 6S 6S 6S 6
S 5S 5S 5S 5
S 4S 4S 4S 4
S 3S 3S 3S 3
S 1S 1S 1S 1
S 33S 33
Linear Array Design
ASICASICcontrol and control and
excitation circuitexcitation circuit
ASICASICcontrol and control and
excitation circuitexcitation circuit
DSPDSPdatadata
controllercontroller
DSPDSPdatadata
controllercontroller
DC currentDC currentsystemsystem
DC currentDC currentsystemsystem
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Linear Array Design
Version 1.1
Version 2.1
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Experimental Setup
X-Y-Z scanner systemX-Y-Z scanner system
CoilCoil
Motor Motor controllercontroller
Power generatorPower generator
PC Control and PC Control and Data AcquisitionData Acquisition
Sensor ArraySensor Array
TargetTarget
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Experimental Setup
300 x 300 mm Coil300 x 300 mm Coil1 1 ΩΩ resistance, 2.5 A resistance, 2.5 A
Variable height supportVariable height support
50 t
o 1
20 m
m50
to
120
mm
Bar mesh targetBar mesh target
Sensor arraySensor array
reference levelreference level
Arm supportArm support
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Image Pre-Processing
The raw image generation process proceeds as follows:
• An initial scan is taken without the target and with the excitation current switched on, to calibrate the sensors.
• A second scan is taken of the target with the excitation current switched off, to estimate the target’s residual magnetic field.
• A final scan is taken of the target with the excitation current switched on.
• The final scan is corrected for variations in the sensor response and the residual magnetic field of the target.
Scan #1: No Scan #1: No target, field target, field
onon
Scan #1: No Scan #1: No target, field target, field
onon
Scan #2: Scan #2: With target, With target,
field offfield off
Scan #2: Scan #2: With target, With target,
field offfield off
Scan #3: Scan #3: With target, With target,
field onfield on
Scan #3: Scan #3: With target, With target,
field onfield onCompensationCompensationCompensationCompensation
Pre-Pre-processedprocessed
Image Image
Pre-Pre-processedprocessed
Image Image
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Multistage image processing algorithm to separate the different layers and to de-blur the composite image
1 2 3 4 5 6
Benitez et al., Efficient image enhancement algorithm for images of steel reinforcing bars in concrete obtained by a new solid-state sensor-based system, IET Science, Measurement & Technology , Volume 1, Issue 5, p. 255-260, 2007.
11 MOVING AVERAGEMOVING AVERAGEFILTERINGFILTERING
MOVING AVERAGEMOVING AVERAGEFILTERINGFILTERING
DE-TRENDINGDE-TRENDINGROWSROWS
DE-TRENDINGDE-TRENDINGROWSROWS
DE-TRENDINGDE-TRENDINGCOLUMNSCOLUMNS
DE-TRENDINGDE-TRENDINGCOLUMNSCOLUMNS
HILBERT HILBERT TRANSFORM TRANSFORM
BASEDBASEDPEAK PEAK
ENHANCEMENTENHANCEMENT
HILBERT HILBERT TRANSFORM TRANSFORM
BASEDBASEDPEAK PEAK
ENHANCEMENTENHANCEMENT
MOVING MOVING AVERAGEAVERAGEFILTERINGFILTERING
MOVING MOVING AVERAGEAVERAGEFILTERINGFILTERING
REFERENCE REFERENCE LEVELLEVEL
CORRECTION CORRECTION ROWSROWS
REFERENCE REFERENCE LEVELLEVEL
CORRECTION CORRECTION ROWSROWS
REFERENCE REFERENCE LEVELLEVEL
CORRECTION CORRECTION COLUMNSCOLUMNS
REFERENCE REFERENCE LEVELLEVEL
CORRECTION CORRECTION COLUMNSCOLUMNS
HILBERT HILBERT TRANSFORM TRANSFORM
BASEDBASEDPEAK PEAK
ENHANCEMENTENHANCEMENT
HILBERT HILBERT TRANSFORM TRANSFORM
BASEDBASEDPEAK PEAK
ENHANCEMENTENHANCEMENT
FINAL FINAL IMAGEIMAGE
FINAL FINAL IMAGEIMAGE
1 3 4 5 6
RAW RAW IMAGEIMAGE
RAW RAW IMAGEIMAGE
2
Image Post-Processing
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Validation of Modelling: Optimum Number of Sensors
Experimental results Model predictions
Experimental outcomes confirmed simulated predictions
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Image Processing Results
Scanner images: bar mesh located at 100 mm depth
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Image Processing Results Images of 12mm bar mesh at 100 mm depth
original
processed
original
processed
original
processed
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Results: Concrete Block Scanning
Rebar configuration within the block Scanned image
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Complete Linear Array Scanner System
![Page 39: Industrial Panel Meeting May 13 2008 PG Group Research Portfolio Patrick Gaydecki and Bosco Fernandes School of Electrical and Electronic Engineering University](https://reader034.vdocuments.us/reader034/viewer/2022042821/56649d1f5503460f949f3bea/html5/thumbnails/39.jpg)
Scan of Target under Ceramic Tile and Foil
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Scan of Hammer under Plasterboard
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Scan of Hammer under Plasterboard and Foil
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Target
/
Barrier
Air
Foil in
air
Ceramic Tile
Tile and
foil
Plaster
board
Plaster
board
and foil
Wire strippers Yes Yes Yes Yes Yes Yes
Pliers Yes No No No Yes Yes
Hammer Yes Yes Yes Yes Yes Yes
Kitchen knife No No Yes Yes Yes Yes
Steel disc Yes Yes Yes Yes Yes Yes
Test Matrix
Notes:
All plasterboard 9.5 mm thicknessAll ceramic tiles 8 mm thickness
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Metal Object Imaging in Air, 25 mm
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Results:Images of Wire-Strippers
Air, 35 mm
Foil in air, 35 mm
Ceramic tile, 35 mm
Ceramic tile and foil, 35 mm
Plasterboard, 30 mm
Plasterboard and foil, 30 mm
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Plasterboard, 25 mm
Results:Images of Pliers
Plasterboard and foil, 30 mm
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Results:Images of Hammer
Air, 30 mm
Foil in air, 30 mm
Ceramic tile, 30 mm
Plasterboard and foil, 50 mmCeramic tile and foil, 30 mm
Plasterboard and foil, 42 mm
Plasterboard, 42 mm
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Sample Post-Processed Image
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Magnetic Field Imaging of a Ring Coilwith DC Current Excitation
dd
configuration
model experiment
17 mmdepth
67 mmdepth
117 mmdepth
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2D mFIC Configuration
• A solid state mFIC has now been fabricated which comprises an array of 33 x 33 magneto-inductive sensors and a square DC excitation coil.
• Three sub-controllers, each of which is responsible for handling the data from eleven linear arrays, feed data to a master controller, which in turn communicates with the host computer.
• Scanning is performed entirely electronically and involves no moving parts.
• An image is generated within three seconds; future developments will enable a data rate of five frames (images) per second.
• At present the device is optimised for imaging steel bars embedded in concrete. Modifications of the system will be required to enable it to detect and image metal weaponry concealed behind walls.
• However, it should be noted that a modified linear mFIC, scanned manually, may be more appropriate for the imaging of concealed weaponry.
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2D Array Design
DSP Sub-controller #3DSP Sub-controller #3DSP Sub-controller #3DSP Sub-controller #3
DSP Sub-controller #1DSP Sub-controller #1DSP Sub-controller #1DSP Sub-controller #1
DSP Sub-controller #2DSP Sub-controller #2DSP Sub-controller #2DSP Sub-controller #2DSP MainDSP MainControllerController
DSP MainDSP MainControllerController
Line Sensor Array #1 (1 x 33)Line Sensor Array #1 (1 x 33)Line Sensor Array #1 (1 x 33)Line Sensor Array #1 (1 x 33)
Line Sensor Array #2 (1 x 33)Line Sensor Array #2 (1 x 33)Line Sensor Array #2 (1 x 33)Line Sensor Array #2 (1 x 33)
Line Sensor Array #3 (1 x 33)Line Sensor Array #3 (1 x 33)Line Sensor Array #3 (1 x 33)Line Sensor Array #3 (1 x 33)
Line Sensor Array #33 (1 x 33)Line Sensor Array #33 (1 x 33)Line Sensor Array #33 (1 x 33)Line Sensor Array #33 (1 x 33)
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Completed Solid State2D Array Scanner
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Development of a Large BorePrestressed Pipe Inspection System
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DigitalDigitalFunction generatorFunction generator
InstrumentationInstrumentationamplifieramplifier
Power amplifierPower amplifier
DC power supplyDC power supply
TransmitterTransmittercoilcoil
DSP phase/amplitudeDSP phase/amplitudesystemsystem
ComputerComputer
DigitalDigitalfilter systemfilter system
OscilloscopeOscilloscope
InstrumentationInstrumentationamplifieramplifier
Receiver coilReceiver coil
Hardware
![Page 54: Industrial Panel Meeting May 13 2008 PG Group Research Portfolio Patrick Gaydecki and Bosco Fernandes School of Electrical and Electronic Engineering University](https://reader034.vdocuments.us/reader034/viewer/2022042821/56649d1f5503460f949f3bea/html5/thumbnails/54.jpg)
Early Rotational Line-scan SystemPipe testing
![Page 55: Industrial Panel Meeting May 13 2008 PG Group Research Portfolio Patrick Gaydecki and Bosco Fernandes School of Electrical and Electronic Engineering University](https://reader034.vdocuments.us/reader034/viewer/2022042821/56649d1f5503460f949f3bea/html5/thumbnails/55.jpg)
0
50000
100000
150000
200000
250000
300000
350000
400000
450000
500000
0 25 50 75 100 125 150 175 200 225 250 275 300 325 350
Angle (Degree)
Am
plit
ude
(DS
P o
utpu
t)
0
50000
100000
150000
200000
250000
300000
350000
400000
450000
500000
0 25 50 75 100 125 150 175 200 225 250 275 300 325 350
Angle (Degree)
Am
plit
ude
(DS
P o
utpu
t)Rotational Line-scan Result
Tx over broken wires
Rx over broken wires
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Brega Plant Tests
![Page 57: Industrial Panel Meeting May 13 2008 PG Group Research Portfolio Patrick Gaydecki and Bosco Fernandes School of Electrical and Electronic Engineering University](https://reader034.vdocuments.us/reader034/viewer/2022042821/56649d1f5503460f949f3bea/html5/thumbnails/57.jpg)
1.6m Pipe Rotational scans
15
25
35
45
55
65
75
0 20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 320
Angular Position (Deg)
Se
nso
r O
utp
ut
(mV
)
3 wire breaks 5 wire breaks 5 wire breaks 7 wire breaks 9 wire breaks
Brega Plant: 1.6 m Pipe Rotational Scan
Rx over breaks
Tx over breaks
![Page 58: Industrial Panel Meeting May 13 2008 PG Group Research Portfolio Patrick Gaydecki and Bosco Fernandes School of Electrical and Electronic Engineering University](https://reader034.vdocuments.us/reader034/viewer/2022042821/56649d1f5503460f949f3bea/html5/thumbnails/58.jpg)
Brega Plant: 4m Pipe Wire Break Spot Tests
Wire break spot test
200
220
240
260
280
300
320
340
360
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
Number of wire breaks
Se
nso
r O
utp
ut (
mV
)
![Page 59: Industrial Panel Meeting May 13 2008 PG Group Research Portfolio Patrick Gaydecki and Bosco Fernandes School of Electrical and Electronic Engineering University](https://reader034.vdocuments.us/reader034/viewer/2022042821/56649d1f5503460f949f3bea/html5/thumbnails/59.jpg)
Brega Plant: 4m Pipe Line Scan Tests
Line scans on 4m pipe
10
60
110
160
210
260
310
360
410
0 200 400 600 800 1000 1200 1400 1600 1800 2000 2200 2400 2600 2800 3000 3200 3400
Scan position (mm)
Sen
sor
Out
put (
mV
)
17 wire breaks 22 wire breaks
17 wire breaks22 wire breaks
![Page 60: Industrial Panel Meeting May 13 2008 PG Group Research Portfolio Patrick Gaydecki and Bosco Fernandes School of Electrical and Electronic Engineering University](https://reader034.vdocuments.us/reader034/viewer/2022042821/56649d1f5503460f949f3bea/html5/thumbnails/60.jpg)
Digital Signal Processing and its Application to
Low Level Signal Recovery
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Characteristics of DSP Systems
• DSP offers flexibility, allowing a single platform to be rapidly reconfigured for different applications
• Operations such as modulation, phase shifting, signal mixing and delaying are simply performed in software
• System performance is far more accurate than equivalent analogue systems
• However, for real time operation, considerable intellectual investment is required to design and program DSP platforms
![Page 62: Industrial Panel Meeting May 13 2008 PG Group Research Portfolio Patrick Gaydecki and Bosco Fernandes School of Electrical and Electronic Engineering University](https://reader034.vdocuments.us/reader034/viewer/2022042821/56649d1f5503460f949f3bea/html5/thumbnails/62.jpg)
DSP Hardware and Software Specifications(Signal Wizard Systems, Developed at UoM)
• 24-bit codec resolution (1 part in 16777216, or 144 dB)
• Variable sample rate extending to 196 kHz
• Processor power of 100 - 550 million multiplication-accumulations per second (MMACS)
• Dual channel/ eight channel operation for signal referencing and mixing with digital audio inputs/outputs
• Non-volatile memory for retention of settings
• Standard PC interfacing: USB, JTAG, serial and parallel
• Easy FIR, and IIR filter design, with other processing functions including mixing and phasing
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Final Realized HardwareFinal Realized Hardware(Signal Wizard 2)(Signal Wizard 2)
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Signal Wizard 3Signal Wizard 3
550 million 550 million multiplications multiplications andand additions per secondadditions per second
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FIR and IIRFIR and IIRdesign areadesign area
Graphical Graphical display of filterdisplay of filter
Hardware control: download, Hardware control: download, gain, adaptive, delay, mixing etc.gain, adaptive, delay, mixing etc.
Signal Wizard 2 Software
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Signal Shape ReconstructionEssential Equations Describing Time Domain Deconvolution (Inverse Filtering)
for Real-Time and Off-Line Processing
)()()()(*)()( HXYthtxty
)(
)()( 1
H
YFtx
)()(*)()( tsthtxty
)(
)(
)(
)()( 1
H
S
H
YFtx
otherwisesH
ifs
,10)(
1,0
sHFth
)(
1)(
~ 11
)(~
*)()( 1 thtytx
Simple Fourier domain scheme (rarely successful):
Fourier domain scheme with noise estimate:
Time domain scheme with noise estimate (surprisingly useful):
Finally:
![Page 68: Industrial Panel Meeting May 13 2008 PG Group Research Portfolio Patrick Gaydecki and Bosco Fernandes School of Electrical and Electronic Engineering University](https://reader034.vdocuments.us/reader034/viewer/2022042821/56649d1f5503460f949f3bea/html5/thumbnails/68.jpg)
Signal Shape Reconstruction in Practice
-0.2
-0.15
-0.1
-0.05
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
-0.003 -0.002 -0.001 0 0.001 0.002 0.003 0.004
time (s)
volts
-0.2
-0.15
-0.1
-0.05
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
-0.003 -0.002 -0.001 0 0.001 0.002 0.003 0.004
time (s)
volts
-0.1
-0.05
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
-0.003 -0.002 -0.001 0 0.001 0.002 0.003 0.004
time (s)
volts
-0.1
-0.05
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
-0.003 -0.002 -0.001 0 0.001 0.002 0.003 0.004
time (s)
volts
Signal comprising three impulses
Signal after inverse filtering in real-timeSignal after low-pass distortion
-0.15
-0.1
-0.05
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
-0.003 -0.002 -0.001 0 0.001 0.002 0.003 0.004
time (s)
volts
-0.15
-0.1
-0.05
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
-0.003 -0.002 -0.001 0 0.001 0.002 0.003 0.004
time (s)
volts
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Detection of AC magnetic fieldspropagated through a ferrous steel boundary:
The Skin Effect
)(.
d
tjd
s eeJJ
r0
2
The strength of both the eddy currents and the associated magnetic field fall rapidly with depth in ferrous materials. The equation which describes the fall in current density is given by:
Where Js is the current density on the surface, d is the depth within the material, is the skin depth, is the angular frequency and J is the is the current density at depth d. The skin depth for a given material is governed by the relationship:
where is the conductivity of the conductor or target, r its relative permeability and 0 is the absolute permeability of a vacuum.
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digital functiondigital functiongeneratorgenerator
InstrumentationInstrumentationamplifieramplifier(x 400)(x 400)
DigitalDigitalOscilloscopeOscilloscope
powerpoweramplifieramplifier
super super narrowbandnarrowband
filterfilter
digital gaindigital gain(x 4096)(x 4096)
DSPDSP
Frequency, Frequency, kHzkHz
TransmittedTransmittedfluxfluxdensity, Tdensity, T
Skin depth, Skin depth, mmmm
AttenuationAttenuation ReceivedReceivedfluxfluxdensity, Tdensity, T
4.54.5 3.1 3.1 10 10-4-4 0.1940.194 3.33 3.33 10 10-5-5 1.03 1.03 10 10-8-8
9.09.0 1.73 1.73 10 10-4-4 0.1370.137 4.57 4.57 10 10-7-7 7.89 7.89 10 10-11-11
13.013.0 4.09 4.09 10 10-4-4 0.1140.114 2.20 2.20 10 10-8-8 8.99 8.99 10 10-12-12
Steel properties:
Relative permeability: 250Conductivity: 6.0 106 Sm-1
Mild steel plate
Mild steel enclosure
Experimental Configuration
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Laboratory System
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-100
-90
-80
-70
-60
-50
-40
-30
-20
-10
0
0 5000 10000 15000 20000 25000
Frequency, Hz
Am
plitu
de,
dB
Pole locations for two IIR filtersPole locations for two IIR filters
Centre Frequency, kHzCentre Frequency, kHz pp00, real, real pp00, imaginary, imaginary pp11, real, real pp11, imaginary, imaginary
4.54.5 0.831460.83146 0.555560.55556 0.831460.83146 -0.55556-0.55556
9.09.0 0.382680.38268 0.923870.92387 0.382680.38268 -0.92387-0.92387
IIR Filter Frequency Response at 9 kHz
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Line Scan Results at 4.5 kHz and 9 kHz
0
100
200
300
400
500
600
700
800
900
0 200 400 600 800 1000
Distance across plate, mm
mV
(R
MS
)
1.00E-07
1.00E-06
1.00E-05
1.00E-04
1.00E-03
1.00E-02
1.00E-01
1.00E+00
0 5000 10000 15000 20000 25000
Frequency, Hz
Log
ampl
itude
0
200
400
600
800
1000
1200
1400
0 200 400 600 800 1000
Distance across plate, mm
mV
(R
MS
)
1.00E-07
1.00E-06
1.00E-05
1.00E-04
1.00E-03
1.00E-02
1.00E-01
1.00E+00
0 5000 10000 15000 20000 25000
Frequency, Hz
Log
ampl
itude
4.5 kHz 9 kHz
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Detection of low amplitude ultrasonic pulses propagated through seawater via a steel structure
7 m structure being lowered into the dockat Liverpool, UK
Location of transmitter
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InstrumentationInstrumentationamplifieramplifier(x 400)(x 400)
DigitalDigitalOscilloscopeOscilloscope
super super narrowbandnarrowband
filterfilter
digital gaindigital gain(x 2048)(x 2048)
DSPDSP
MicrocontrolledMicrocontrolledpulserpulser
TransmittingTransmittingtransducertransducer
ReceivingReceivingtransducertransducer
100 m100 m
Signal typeSignal type Tone burstTone burst
Frequency Frequency 40 kHz40 kHz
Transmission Transmission amplitudeamplitude
20 V20 V
Divergence angleDivergence angle hemisphericalhemispherical
AttenuationAttenuation Geometric (1/Geometric (1/rr22))
Peak received signalPeak received signal 650 nV650 nV
Experimental Configuration
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Time
Am
plitu
de
Time
Am
plitu
de
Time
Am
plitu
de
Typical Results
(a) Detail of original received signal degraded by noise.
(b) Detail of received signal, recovered by super narrowband filter.
(c) Complete tone burst signal detected after transmission through water, recovered using a super narrowband IIR filter.
(a)
(b)
(c)
![Page 77: Industrial Panel Meeting May 13 2008 PG Group Research Portfolio Patrick Gaydecki and Bosco Fernandes School of Electrical and Electronic Engineering University](https://reader034.vdocuments.us/reader034/viewer/2022042821/56649d1f5503460f949f3bea/html5/thumbnails/77.jpg)
Intelligent Clothing Development
![Page 78: Industrial Panel Meeting May 13 2008 PG Group Research Portfolio Patrick Gaydecki and Bosco Fernandes School of Electrical and Electronic Engineering University](https://reader034.vdocuments.us/reader034/viewer/2022042821/56649d1f5503460f949f3bea/html5/thumbnails/78.jpg)
Analogueelectronics
DigitizationBT
wirelessTx
Sensor Electronics
![Page 79: Industrial Panel Meeting May 13 2008 PG Group Research Portfolio Patrick Gaydecki and Bosco Fernandes School of Electrical and Electronic Engineering University](https://reader034.vdocuments.us/reader034/viewer/2022042821/56649d1f5503460f949f3bea/html5/thumbnails/79.jpg)
volumedisplay
HRdetection
DSP
DSP
Channel splitting
BTwireless
Rx
COM PORT
ECG
respiration
Data Acquisition and DSP
![Page 80: Industrial Panel Meeting May 13 2008 PG Group Research Portfolio Patrick Gaydecki and Bosco Fernandes School of Electrical and Electronic Engineering University](https://reader034.vdocuments.us/reader034/viewer/2022042821/56649d1f5503460f949f3bea/html5/thumbnails/80.jpg)
Standard medical equipment and the SmartLife system: A comparative study
• Comparison of the responses from standard Silver/Silver Chloride (Ag/AgCl) electrodes and yarn electrodes using hospital monitoring equipment
• Comparison of the above responses using the Smartlife electronics and software system
• Analysis of the data from Holter Monitors and Loop Recorders
Standard ECG methods have been compared against the SmartLife system in the following ways:
![Page 81: Industrial Panel Meeting May 13 2008 PG Group Research Portfolio Patrick Gaydecki and Bosco Fernandes School of Electrical and Electronic Engineering University](https://reader034.vdocuments.us/reader034/viewer/2022042821/56649d1f5503460f949f3bea/html5/thumbnails/81.jpg)
Comparative study : Results
Holter monitor
Loop recorder
Vest
Standard hospital equipmentAg/AgCl
Smartlife electronics and software
![Page 82: Industrial Panel Meeting May 13 2008 PG Group Research Portfolio Patrick Gaydecki and Bosco Fernandes School of Electrical and Electronic Engineering University](https://reader034.vdocuments.us/reader034/viewer/2022042821/56649d1f5503460f949f3bea/html5/thumbnails/82.jpg)
Signal comparison: yarn and standard electrodes
Signal from standard Ag/AgCl Gel electrodes Signal from SmartLife® Health Vest electrodes
Signal Section
Amplitude (mV) Duration (ms)
Ag/AgCl Vest Ag/AgCl vest
P wave 0.2 0.3 120 120
QRS complex 2.0 2.5 80 80
T wave 0.5 0.5 240 240
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