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Proceedings Papers

Deep Autoencoder for Ultrasound-Based Rail Flaw Detection

Yuning Wu, Xuan Zhu, Jay Baillargeon

Proc. ASME. JRC2022, 2022 Joint Rail Conference, V001T09A006, April 20–21, 2022

Paper No: JRC2022-79554

DOI: https://doi.org/10.1115/JRC2022-79554

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Topics: Flaw detection, Rails, Ultrasound

Proceedings Papers

Toward Railway Automated Defect Detection From Onboard Data Using Deep Learning

Milad Afzalan, Farrokh Jazizadeh, Mehdi Ahmadian

Proc. ASME. JRC2020, 2020 Joint Rail Conference, V001T08A002, April 20–22, 2020

Paper No: JRC2020-8031

DOI: https://doi.org/10.1115/JRC2020-8031

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Topics: Flaw detection, Railroads, Time series, Data collection, Maintenance, Rails, Geometry, Instrumentation, Machine learning, Safety

Proceedings Papers

Detecting Dark Cars Using a Novel Multi-Antenna AEI Tag Reader Design for Increased Read Distance and Reliability

Pejman Ghasemzadeh, Subharthi Banerjee, Michael Hempel, Andrew Harms, Hamid Sharif

Proc. ASME. JRC2020, 2020 Joint Rail Conference, V001T11A006, April 20–22, 2020

Paper No: JRC2020-8089

DOI: https://doi.org/10.1115/JRC2020-8089

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Topics: Automobiles, Backscattering, Design, Reliability, Rails, Electromagnetic fields, Flaw detection, Locomotives, Performance evaluation, Reflection

Proceedings Papers

Addressing Future Rail Network Performance Challenges Through Effective Structural Health Monitoring

Jenna Davis, Patrick Vallely, Mayorkinos Papaelias, Zheng Huang

Proc. ASME. JRC2018, 2018 Joint Rail Conference, V001T01A002, April 18–20, 2018

Paper No: JRC2018-6115

DOI: https://doi.org/10.1115/JRC2018-6115

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Topics: Rails, Structural health monitoring, Inspection, Maintenance, Railroads, Engineers, Traffic, Uncertainty, Density, Feedback

Proceedings Papers

Vibration-Based Defect Detection for Freight Railcar Tapered-Roller Bearings

Joseph Montalvo, Constantine Tarawneh, Arturo A. Fuentes

Proc. ASME. JRC2018, 2018 Joint Rail Conference, V001T06A011, April 18–20, 2018

Paper No: JRC2018-6210

DOI: https://doi.org/10.1115/JRC2018-6210

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Topics: Bearings, Flaw detection, Rollers, Vibration, Temperature, Sensors, Railroads, Condition monitoring, Risk, Testing

Proceedings Papers

Rail Defect Detection Using Fiber Optic Sensors and Wavelet Algorithms

Saied Taheri, Behzad Moslehi, Vahid Sotoudeh, Brad M. Hopkins

Proc. ASME. JRC2018, 2018 Joint Rail Conference, V001T10A002, April 18–20, 2018

Paper No: JRC2018-6109

DOI: https://doi.org/10.1115/JRC2018-6109

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Topics: Algorithms, Fiber optic sensors, Flaw detection, Rails, Wavelets, Trains, Automobiles, Railroads, Accelerometers, Damage

Proceedings Papers

Sensor Fusion of Wayside Visible and Thermal Imagery for Rail Car Wheel and Bearing Damage Detection

Hanieh Deilamsalehy, Timothy C. Havens, Pasi Lautala

Proc. ASME. JRC2017, 2017 Joint Rail Conference, V001T02A011, April 4–7, 2017

Paper No: JRC2017-2284

DOI: https://doi.org/10.1115/JRC2017-2284

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Topics: Bearings, Damage, Rails, Sensors, Wheels, Inspection, Maintenance, Safety, Visible spectrum, Heat

Proceedings Papers

Onboard Energy Storage System: Ground Fault Detection and Protection

Jason Krause, John McPhee

Proc. ASME. JRC2017, 2017 Joint Rail Conference, V001T09A006, April 4–7, 2017

Paper No: JRC2017-2290

DOI: https://doi.org/10.1115/JRC2017-2290

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Topics: Energy storage, Flaw detection, Traction, Vehicles, Currents, Streetcars, Automotive design, Capacitors, Chain, Circuits

Proceedings Papers

Non-Contact Ultrasonic Guided Wave Inspection of Rails: Next Generation Approach

Stefano Mariani, Thompson V. Nguyen, Xuan Zhu, Simone Sternini, Francesco Lanza di Scalea, Mahmood Fateh, Robert Wilson

Proc. ASME. JRC2016, 2016 Joint Rail Conference, V001T06A011, April 12–15, 2016

Paper No: JRC2016-5771

DOI: https://doi.org/10.1115/JRC2016-5771

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Topics: Guided wave ultrasonic testing, Rails, Engineering prototypes, Algorithms, Signals, Simulation, Filtration, Flaw detection, Impedance (Electricity), Industrial research

Proceedings Papers

High Speed Non-Contact Ultrasonic Guided Wave Inspections of Rails

Stefano Mariani, Thompson V. Nguyen, Francesco Lanza di Scalea, Mahmood Fateh

Proc. ASME. JRC2014, 2014 Joint Rail Conference, V001T01A008, April 2–4, 2014

Paper No: JRC2014-3745

DOI: https://doi.org/10.1115/JRC2014-3745

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Topics: Inspection, Rails, Waves, Engineering prototypes, Algorithms, Flaw detection, Lasers, Signals, Simulation, Filtration

Proceedings Papers

Rail Defect Detection Using Data From Tri-Axial Accelerometers

Tariq Abuhamdia, Saied Taheri, Abe Meddah, David Davis

Proc. ASME. JRC2014, 2014 Joint Rail Conference, V001T06A001, April 2–4, 2014

Paper No: JRC2014-3703

DOI: https://doi.org/10.1115/JRC2014-3703

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Topics: Accelerometers, Flaw detection, Rails, Wavelets, Algorithms, Concretes, Density, Filtration, Fracture (Materials), Fracture (Process)

Proceedings Papers

Prediction of Railroad Track Foundation Defects Using Wavelets

Kuya Takami, Saied Taheri, Mehdi Taheri, Tomonari Furukawa

Proc. ASME. JRC2013, 2013 Joint Rail Conference, V001T01A008, April 15–18, 2013

Paper No: JRC2013-2456

DOI: https://doi.org/10.1115/JRC2013-2456

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Topics: Railroads, Wavelets, Rails, Algorithms, Signals, Simulation, Accelerometers, Damage, Flaw detection, Fracture (Materials)

Proceedings Papers

Challenges in Current Wireless Sensor Technology for Railcar Status Monitoring for North America’s Freight Railroad Industry

Sushanta Mohan Rakshit, Michael Hempel, Hamid Sharif, John Punwani, Monique Stewart, Shahram Mehrvarzi

Proc. ASME. JRC2012, 2012 Joint Rail Conference, 397-405, April 17–19, 2012

Paper No: JRC2012-74114

DOI: https://doi.org/10.1115/JRC2012-74114

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Topics: Railroads, Sensors, Trains, Safety, Chain, Topology, Wireless sensor networks, Delays, Electrical components, Errors

Proceedings Papers

Improving the Quality and Reliability of Large Truck Castings

Kari Gonzales, Kevin Koch, Daniel Carter

Proc. ASME. JRC2011, 2011 Joint Rail Conference, 241-251, March 16–18, 2011

Paper No: JRC2011-56057

DOI: https://doi.org/10.1115/JRC2011-56057

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Topics: Casting, Fatigue, Finite element analysis, Reliability, Stress, Trucks, Failure, Fatigue life, Design, Freight cars

Proceedings Papers

Broken Rail Prediction and Detection Using Wavelets and Artificial Neural Networks

Brad M. Hopkins, Saied Taheri

Proc. ASME. JRC2011, 2011 Joint Rail Conference, 77-84, March 16–18, 2011

Paper No: JRC2011-56026

DOI: https://doi.org/10.1115/JRC2011-56026

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Topics: Artificial neural networks, Rails, Wavelets, Algorithms, Signals, Flaw detection, Data acquisition systems, Fourier transforms, Pattern recognition, Railroads

Proceedings Papers

Nondestructive Inspection Methods for Railroad Castings

Daniel Carter, Kari Gonzales

Proc. ASME. JRC2010, 2010 Joint Rail Conference, Volume 2, 191-201, April 27–29, 2010

Paper No: JRC2010-36199

DOI: https://doi.org/10.1115/JRC2010-36199

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Topics: Nondestructive evaluation, Railroads, Inspection, Magnetic particles, Casting, Echoes, Engineers, Ethanol, Flaw detection, Maintenance

Proceedings Papers

A Machine Vision System for Automated Joint Bar Inspection From a Moving Rail Vehicle

Xavier Gibert-Serra, Andrea Berry, Christian Diaz, William Jordan, Boris Nejikovsky, Ali Tajaddini

Proc. ASME. JRC-ICE2007, ASME/IEEE 2007 Joint Rail Conference and Internal Combustion Engine Division Spring Technical Conference, 289-296, March 13–16, 2007

Paper No: JRC/ICE2007-40039

DOI: https://doi.org/10.1115/JRC/ICE2007-40039

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Topics: Inspection, Machinery, Rail vehicles, Railroads, Rails, Safety, Computers, Failure, Fatigue cracks, Flaw detection

Proceedings Papers

Bearing Defect Detection Using On-Board Accelerometer Measurements

John Donelson, III, Ronald L. Dicus

Proc. ASME. RTD2002, Joint Rail, 95-102, April 23–25, 2002

Paper No: RTD2002-1645

DOI: https://doi.org/10.1115/RTD2002-1645

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Topics: Accelerometers, Bearings, Flaw detection, Roller bearings, Freight cars, Spectra (Spectroscopy), Condition monitoring, Railroads, Trains, Vibration

Proceedings Papers

DC Frame Fault and Ground Fault Field Testing on TriMet Portland Light Rail System

Kinh D. Pham, Thomas Heilig, Kai Looijenga, Xavier Ramirez

Proc. ASME. RTD2005, Joint Rail, 151-164, March 16–18, 2005

Paper No: RTD2005-70010

DOI: https://doi.org/10.1115/RTD2005-70010

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Topics: Flaw detection, Poles (Building), Rails, Resistors, Safety, Testing, Traction, Wire

NARROW

Deep Autoencoder for Ultrasound-Based Rail Flaw Detection

Toward Railway Automated Defect Detection From Onboard Data Using Deep Learning

Detecting Dark Cars Using a Novel Multi-Antenna AEI Tag Reader Design for Increased Read Distance and Reliability

Addressing Future Rail Network Performance Challenges Through Effective Structural Health Monitoring

Vibration-Based Defect Detection for Freight Railcar Tapered-Roller Bearings

Rail Defect Detection Using Fiber Optic Sensors and Wavelet Algorithms

Sensor Fusion of Wayside Visible and Thermal Imagery for Rail Car Wheel and Bearing Damage Detection

Onboard Energy Storage System: Ground Fault Detection and Protection

Non-Contact Ultrasonic Guided Wave Inspection of Rails: Next Generation Approach

High Speed Non-Contact Ultrasonic Guided Wave Inspections of Rails

Rail Defect Detection Using Data From Tri-Axial Accelerometers

Prediction of Railroad Track Foundation Defects Using Wavelets

Challenges in Current Wireless Sensor Technology for Railcar Status Monitoring for North America’s Freight Railroad Industry

Improving the Quality and Reliability of Large Truck Castings

Broken Rail Prediction and Detection Using Wavelets and Artificial Neural Networks

Nondestructive Inspection Methods for Railroad Castings

A Machine Vision System for Automated Joint Bar Inspection From a Moving Rail Vehicle

Bearing Defect Detection Using On-Board Accelerometer Measurements

DC Frame Fault and Ground Fault Field Testing on TriMet Portland Light Rail System

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