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Out-of-roundness wheel detection Motivation€¦ · Out-of-roundness wheel detection Q sta Q sta Q...

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Out-of-roundness wheel detection Motivation Defects in train wheels N ti i t i th if t t d i th t i Negative impacts in the infrastructure and in the trains Automatic detection Simple control by the responsible entities Simple control by the responsible entities Reduction of material degradation Increase in safety Decrease in energy consumption Reduction of operation and maintenance costs www.fibersensing.com 05.Feb.2010 26
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Page 1: Out-of-roundness wheel detection Motivation€¦ · Out-of-roundness wheel detection Q sta Q sta Q dyn Q Q dyn Impact sta d – fl t d thflat depth L – flat extension x – coordinate

Out-of-roundness wheel detection

MotivationDefects in train wheels

N ti i t i th i f t t d i th t i• Negative impacts in the infrastructure and in the trainsAutomatic detection• Simple control by the responsible entitiesSimple control by the responsible entities• Reduction of material degradation• Increase in safety• Decrease in energy consumption• Reduction of operation and maintenance costs

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Page 2: Out-of-roundness wheel detection Motivation€¦ · Out-of-roundness wheel detection Q sta Q sta Q dyn Q Q dyn Impact sta d – fl t d thflat depth L – flat extension x – coordinate

Out-of-roundness wheel detection

Qsta

Qsta

Q dyn

Q

Qdyn Impact

Qsta

d fl t d thd – flat depth L – flat extensionx – coordinate in the track

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Page 3: Out-of-roundness wheel detection Motivation€¦ · Out-of-roundness wheel detection Q sta Q sta Q dyn Q Q dyn Impact sta d – fl t d thflat depth L – flat extension x – coordinate

Out-of-roundness wheel detection

Theoretical modeling results

Dynamic Load amplification due to the defect

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Page 4: Out-of-roundness wheel detection Motivation€¦ · Out-of-roundness wheel detection Q sta Q sta Q dyn Q Q dyn Impact sta d – fl t d thflat depth L – flat extension x – coordinate

Out-of-roundness wheel detection

Theoretical modeling results

Perturbations due to high frequency due to the defect

Amplification due to the defect

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Page 5: Out-of-roundness wheel detection Motivation€¦ · Out-of-roundness wheel detection Q sta Q sta Q dyn Q Q dyn Impact sta d – fl t d thflat depth L – flat extension x – coordinate

Out-of-roundness wheel detection

Implemented experimental system“Linha do Norte”, Portuguese railway network, Canelas , EstarrejaEstarreja8 fiber optic deformation sensors placed along the track

Sensors localization

Track

Deformation sensorSleepers

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Page 6: Out-of-roundness wheel detection Motivation€¦ · Out-of-roundness wheel detection Q sta Q sta Q dyn Q Q dyn Impact sta d – fl t d thflat depth L – flat extension x – coordinate

Out-of-roundness wheel detection

Implemented experimental systemBraggSCOPETM with 2 optical parallel channels4 fib ti d f ti i h h l4 fiber optic deformation sensors in each channel

Installation of the sensors

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Page 7: Out-of-roundness wheel detection Motivation€¦ · Out-of-roundness wheel detection Q sta Q sta Q dyn Q Q dyn Impact sta d – fl t d thflat depth L – flat extension x – coordinate

Out-of-roundness wheel detection

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Page 8: Out-of-roundness wheel detection Motivation€¦ · Out-of-roundness wheel detection Q sta Q sta Q dyn Q Q dyn Impact sta d – fl t d thflat depth L – flat extension x – coordinate

Out-of-roundness wheel detection

Data processing and visualization in LabviewTMSignal translation to normalize strain from zeroHi h f filt i t b tiHigh frequency filtering perturbations

Artificial Zero

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Page 9: Out-of-roundness wheel detection Motivation€¦ · Out-of-roundness wheel detection Q sta Q sta Q dyn Q Q dyn Impact sta d – fl t d thflat depth L – flat extension x – coordinate

Out-of-roundness wheel detection

Data visualization in LabviewTM

ZoomSensor selectionSensor selection

• Real Values• Filtered values

Sensor 1 Sensor 5

Real value

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Filtered value

Page 10: Out-of-roundness wheel detection Motivation€¦ · Out-of-roundness wheel detection Q sta Q sta Q dyn Q Q dyn Impact sta d – fl t d thflat depth L – flat extension x – coordinate

Out-of-roundness wheel detection

Data visualization in LabviewTMSuperimposed visualization

Sensor 1 Sensor 5

Real value

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Page 11: Out-of-roundness wheel detection Motivation€¦ · Out-of-roundness wheel detection Q sta Q sta Q dyn Q Q dyn Impact sta d – fl t d thflat depth L – flat extension x – coordinate

Out-of-roundness wheel detection

Maximum and minimum registered strain

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Page 12: Out-of-roundness wheel detection Motivation€¦ · Out-of-roundness wheel detection Q sta Q sta Q dyn Q Q dyn Impact sta d – fl t d thflat depth L – flat extension x – coordinate

Out-of-roundness wheel detection

Difference in maximum registered strain

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Page 13: Out-of-roundness wheel detection Motivation€¦ · Out-of-roundness wheel detection Q sta Q sta Q dyn Q Q dyn Impact sta d – fl t d thflat depth L – flat extension x – coordinate

Out-of-roundness wheel detection

Axis 5 ~ 40µε Axis 35 ~ 14µε

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Page 14: Out-of-roundness wheel detection Motivation€¦ · Out-of-roundness wheel detection Q sta Q sta Q dyn Q Q dyn Impact sta d – fl t d thflat depth L – flat extension x – coordinate

Out-of-roundness wheel detection

The obtained results showed that is possible to implement a out-of-roundness wheel detection system with the following qualities:system with the following qualities:

Easy to installImmune to electromagnetic interferencesImmune to electromagnetic interferencesMultiple sensors simultaneously interrogatedReading equipments may be remotely located (until Reading equipments may be remotely located (until some km)Sensors that do not require any electrical stimulus

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Page 15: Out-of-roundness wheel detection Motivation€¦ · Out-of-roundness wheel detection Q sta Q sta Q dyn Q Q dyn Impact sta d – fl t d thflat depth L – flat extension x – coordinate

Out-of-roundness wheel detection

Future workTesting in laboratory and in field with known wheel defect profiles in order to be able to characteri e a defect profiles in order to be able to characterize a set of defects Database creation to define limits for the parametersDatabase creation to define limits for the parameters

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