presentation ph d
DESCRIPTION
TRANSCRIPT
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Innovative fiber optic sensors: from theory to applications
Daniele Tosi
PhD presentationElectronics Engineering2008-2009
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Overview
Sensor networks market
Optical fiber sensors
Grating sensors
Low-cost solutions
Principles
Processing
Results
Potential
Daniele Tosi, [email protected]
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Focus
Daniele Tosi - [email protected]
Sensor for measurement of mechanical and physical parameters• Direct: strain, vibrations, temperature, ...
• Indirect: pressure, rotation, resonance, modes, level, ...
Network
Applications
Cost control
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Near future scenario
Daniele Tosi - [email protected]
VSWireless Sensor Networks Fiber Optic Sensors
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Market size
Daniele Tosi - [email protected]
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enue
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Rev
enue
s (M
$/ye
ar)
Market size
Daniele Tosi - [email protected]
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Wireless
Optic
Global market
Market growth
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Market size
Daniele Tosi - [email protected]
!"
#!!"
$!!"
%!!"
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'!!!"
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'$!!"
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51% 49%Revenues
# units
WSNFOS
30%
70%
10%
90%
5%
95%
2008 2011
Rev
enue
s (M
$/ye
ar)
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Market size
Daniele Tosi - [email protected]
!"
#!!"
$!!"
%!!"
&!!"
'!!!"
'#!!"
'$!!"
#!!(" #!!%" #!!)" #!!&" #!!*" #!'!" #!''"
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Rev
enue
s (M
$/ye
ar)
TelecomSensors
$6.2B
$335MWi-fi Sensors
$320M
$60B
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Differentiation
Daniele Tosi - [email protected]
FOS WSN
Size ∅ <1mm 6x4x3 cm
Immunity Fiber immune to EMI
Active and passive interference
Distribution Distrib. + multiplex + punctual
PunctualSlow multiplex
Attenuation 0.2 dB/kmRemote sensing
WiLD < 1kmSmall cover area
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FOS
Daniele Tosi - [email protected]
Sensitivity
Cost$100 $1k $10k $100k $1M
10 pm
1 nm
100 nm
10 µm
1 mm POF
Doppler/TOF
Active fibers
Raman/Brillouin
CCD/imaging
Interferometry
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FOS
Daniele Tosi - [email protected]
28%
42%
Research papers
Revenues
Sensitivity
Cost$100 $1k $10k $100k $1M
10 pm
1 nm
100 nm
10 µm
1 mm POF
Doppler/TOF
Active fibers
Raman/Brillouin
CCD/imaging
Interferometry
FBG
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FBG principles
Daniele Tosi - [email protected]
FBG ➙ refractive index modulation inside the core of an optical fiber - wavelength/selective
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FBG principles
Daniele Tosi - [email protected]
Modulation period sensitive to:- mechanical strain- thermal expansion
Strain
Temperature
Λ
Λ
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FBG principles
Daniele Tosi - [email protected]
Peak
wav
elen
gth
(nm
)
Strain (με)
1 pm/µε10 pm/°C{
ΔL/L
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FBG principles
Daniele Tosi - [email protected]
Peak
wav
elen
gth
(nm
)
Strain (με)
1 pm/µε10 pm/°C{
➙ Temperature compensation
ΔL/L
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FBG sensors
Daniele Tosi - [email protected]
Sensitivity
Cost$1k $10k $100k $1M
<<1nm
100nm
1nm
Interferometry
FBG analyzer
Active fibers
Optical spectrum
Scanning filter
Intensitybased
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FBG sensors
Daniele Tosi - [email protected]
Sensitivity
Cost$1k $10k $100k $1M
<<1nm
100nm
1nm
Interferometry
FBG analyzer
Active fibers
Optical spectrum
Scanning filter
Intensitybased
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Applications
• performance
• environment
• immunity
• safety
• invasiveness
Daniele Tosi - [email protected]
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Applications
• performance
• environment
• immunity
• safety
• invasiveness
Daniele Tosi - [email protected]
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Applications
• performance
• environment
• immunity
• safety
• invasiveness
Daniele Tosi - [email protected]
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Applications
• performance
• environment
• immunity
• safety
• invasiveness
Daniele Tosi - [email protected]
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Applications
• performance
• environment
• immunity
• safety
• invasiveness
Daniele Tosi - [email protected]
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Applications
Daniele Tosi - [email protected]
35%
22%
15%
13%
7%3%
2%2%
Remote structuresSmart structuresSecurityIndustrial processSeismicAerospaceMilitaryMedical
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Matched laser
Daniele Tosi - [email protected]
-150 -50 50 150
1
2
3
4
5
6
Strain
Volta
ge (V
)
60µε
10 mV/µε
1 mV/µε
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Performances
M. FBGs M. Laser FBGA
Sensitivity ✓✓ ✓✓✓✓✓ ✓✓
Resolution ✓✓✓✓✓ ✓✓✓✓✓ ✓✓
Range ✓✓✓✓ ✓✓ ✓✓✓
# Sensors ✓✓✓ ✓✓ ✓✓✓✓✓
Stability ✓✓✓ ✓ ✓✓✓✓✓
Daniele Tosi - [email protected]
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Performances
M. FBGs M. Laser FBGA
Sensitivity ✓✓ ✓✓✓✓✓ ✓✓
Resolution ✓✓✓✓✓ ✓✓✓✓✓ ✓✓
Range ✓✓✓✓ ✓✓✓ ✓✓
# Sensors ✓✓✓ ✓✓ ✓✓✓✓✓
Stability ✓✓✓ ✓ ✓✓✓✓✓
Daniele Tosi - [email protected]
Dynamic
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Performances
Perform. Optical
Min SNR -10 dB
Sensitivity 800 nε
RMSE 2.2 µε
Overhead 0%
Daniele Tosi - [email protected]
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Signal processing
Daniele Tosi - [email protected]
Sensitivity
Cost$1k $10k $100k $1M
<<1nm
100nm
1nm
Interferometry
FBG analyzer
Active fibers
Optical spectrum
Scanning filter
Intensitybased
SP
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Signal processing
Daniele Tosi - [email protected]
f/3kHzμε
PSD(dB)
D. Tosi, M. Olivero, G. Perrone, “Self-mixing based interrogation techniques for high-reflectivity fibre Bragg grating sensors”, Electronic Letters, vol. 44, 2008.
Time(s)
Aut
ocor
rela
tion(
a.u.
)
Noise properties - FBG backreflection
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Signal processing
Daniele Tosi - [email protected]
Adaptive filter - RLS 40 taps
Training
Acquired
Filtered
Reference
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Signal processing
Daniele Tosi - [email protected]
Adaptive filter - RLS 40 taps
Noise filtering
Acquired
Filtered
Reference
14 dB
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Signal processing
Daniele Tosi - [email protected]
Capon power spectral density estimatorJ. Capon, “High-resolution frequency-wavenumber spectrum analysis”, Proc. IEEE, vol. 57, 1969.
FFT Param. Capon
SNR -10 dB <-40 dB -25 dB
Resolution 1/N ~<1/N Unlimited
Properties None Required Adaptive
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Signal processing
Daniele Tosi - [email protected]
Capon power spectral density estimatorJ. Capon, “High-resolution frequency-wavenumber spectrum analysis”, Proc. IEEE, vol. 57, 1969.
FFT Param. Capon
SNR -10 dB <-40 dB -25 dB
Resolution 1/N ~<1/N Unlimited
Properties None Required Adaptive15 dB
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Performances
Perform. Optical Optical + SP
Min SNR -10 dB -39 dB
Sensitivity 800 nε 5.6 nε
RMSE 2.2 µε 0.4 µε
Overhead 0% <1%
Daniele Tosi - [email protected]
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Setup
Daniele Tosi - [email protected]
Acquisition
Laser/TEC
WVF generator
Matlab sound
DAQ card FBG
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Heartbeat
Daniele Tosi - [email protected]
Criticalities:- FBG positioning- signal processing
69.9bpm
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Potential
Daniele Tosi - [email protected]
35%
22%
15%
13%
7%3%
2%2%
Remote structuresSmart structuresSecurityIndustrial processSeismicAerospaceMilitaryMedical
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Potential
Daniele Tosi - [email protected]
35%
22%
15%
13%
7%3%
2%2%
Smart structures
Distributed sensor networksFew sensing points, repeated
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Potential
Daniele Tosi - [email protected]
35%
22%
15%
13%
7%3%
2%2%
Remote sensingLower cost solutions
Remote structures
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Potential
Daniele Tosi - [email protected]
35%
22%
15%
13%
7%3%
2%
2%Medical equipment
Increase smartness capabilityReplacement / redundancy
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Potential
Daniele Tosi - [email protected]
35%
22%15%
13%
7%3%
2%
2%
Niche applications in adjacent fields
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Conclusion
Daniele Tosi - [email protected]
• Fiber optic sensors market: trends and opportunities
• Applications range and requirements
• The proposed solutions - low cost FBG sensors
• The effect of signal processing
• Experimental results and potential developments
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References
Daniele Tosi - [email protected]
(1) D. Tosi, M. Olivero, G. Perrone, “Dynamic strain measurement system with fiber Bragg gratings and noise mitigation techniques”, Measurement Science and Technology, vol. 20, 2009.
(2) D. Tosi, M. Olivero, G. Perrone, “A low-cost fiber Bragg grating vibro-acoustic sensor for voice and heartbeat detection”, Applied Optics, vol. 47, 2008.
(3) D. Tosi, M. Olivero, G. Perrone, “Self-mixing based interrogation techniques for high-reflectivity fibre Bragg grating sensors”, Electronic Letters, vol. 44, 2008.
(4) D. Tosi, M. Olivero, G. Perrone, “Broadband source-based interrogation scheme of fiber Bragg grating sensors for structural health monitoring”, Key Engineering Materials, vol. 347, 2007.
(5) D. Tosi, M. Olivero, G. Perrone, “Optical microphone with fiber Bragg gratings and signal processing techniques”, Proc. SPIE, vol. 7098, 2008.
(6) D. Tosi, M. Olivero, G. Perrone, “Low-cost fiber Bragg grating-based static and dynamic strain system for structural monitoring”, Proc. SPIE, vol. 7098, 2008.
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References
Daniele Tosi - [email protected]
(7) Y. J. Rao, “In-fibre Bragg grating sensors”, Measurement Science and Technology, vol. 8, 1997.
(8) A. Othonos, K. Kalli, Fiber Bragg Gratings: Fundamentals and Applications in Telecommunications and Sensing, Artech House, 1999.
(9) W. W. Morey, “Distributed fibre grating sensors”, Proc. OFS Conference, 1997(10) F. A. Bezombes, M. J. Lalor, D. R. Burton, “Contact microphone using optical fibre
Bragg grating technology”, J. Phys. Conf. Ser., vol. 76, 2007.(11) A. Zaknich, Principles of Adaptive Filters and Self-Learning Systems, Springer, 2000.(12) J. Capon, “High-resolution frequency-wavenumber spectrum analysis”, Proc. IEEE,
vol. 57, 1969.(13) D. B. Huff, M. S. Lebby, “Fiber optic sensing technology: emerging markets and
trends”, Proc. SPIE, vol. 6619, 2007.(14) www.smartech.ch(15) www.bayspec.com (16) www.xbow.com
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Acknowledgments
Daniele Tosi - [email protected]
Julia GillardTracy HarrisSebastian Sabogal
Gaetano PellicanoBarbara PizzellaMaria Grazia Quieti
Armen Berjikly
Jake Wall
Guido Perrone
Massimo Olivero
Renato Orta
Alberto Vallan
Ivo Montrosset
Francesco Profumo
Claudio Maccone
+ others...
Antonio StrumiaSilvio Abrate
Barry PosnerKevin HolmesNick KurnsTerri GriffithMary Furlong
John CanningMattias AslundKevin CookMike Stevenson
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EndThank you for your interest
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Signal processing
Daniele Tosi - [email protected]
Data modellingRMSE reconstruction:
11.4με ➙ 0.32με
(6 iterations)
D. Tosi, M. Olivero, G. Perrone, “Dynamic strain measurement system with fiber Bragg gratings and noise mitigation techniques”, Measurement Science and Technology, vol. 20, 2009.
15 dB