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Proceedings Papers

Landslide Risk Assessment in Cut Locations Using Right of Way Videos and Artificial Intelligence

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Michael Palese, Allan M. Zarembski, Joseph Palese
Proc. ASME. JRC2022, 2022 Joint Rail Conference, V001T01A002, April 20–21, 2022
Publisher: American Society of Mechanical Engineers
Paper No: JRC2022-78162
https://doi.org/10.1115/JRC2022-78162
View Paper titled, Landslide Risk Assessment in Cut Locations Using Right of Way Videos and Artificial Intelligence
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Topics: Algorithms, Artificial intelligence, Artificial neural networks, Computers, Construction, Damage, Failure, Inspection, Landslide risk, Landslides
Proceedings Papers

Evaluation of Machine Learning-Driven Automatic Modulation Classifiers Under Various Signal Models

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Pejman Ghasemzadeh, Subharthi Banerjee, Michael Hempel, Hamid Sharif, Tarek Omar
Proc. ASME. JRC2020, 2020 Joint Rail Conference, V001T11A007, April 20–22, 2020
Publisher: American Society of Mechanical Engineers
Paper No: JRC2020-8091
https://doi.org/10.1115/JRC2020-8091
View Paper titled, Evaluation of Machine Learning-Driven Automatic Modulation Classifiers Under Various Signal Models
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Topics: Machine learning, Machinery, Signals, Railroads, Artificial neural networks, Noise (Sound), Support vector machines, Electromagnetic spectrum, Feature extraction, Fluctuations (Physics)
Proceedings Papers

Classification of Rail Switch Data Using Machine Learning Techniques

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Kaylen J. Bryan, Mitchell Solomon, Emily Jensen, Christina Coley, Kailas Rajan, Charlie Tian, Nenad Mijatovic, James M. Kiss, Benjamin Lamoureux, Pierre Dersin, Anthony O. Smith, Adrian M. Peter
Proc. ASME. JRC2018, 2018 Joint Rail Conference, V001T04A005, April 18–20, 2018
Publisher: American Society of Mechanical Engineers
Paper No: JRC2018-6175
https://doi.org/10.1115/JRC2018-6175
View Paper titled, Classification of Rail Switch Data Using Machine Learning Techniques
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Topics: Machine learning, Rails, Switches, Artificial neural networks, Deformation, Electromagnetic scattering, Failure, Maintenance, Radiation scattering, Railroads
Proceedings Papers

Broken Rail Prediction and Detection Using Wavelets and Artificial Neural Networks

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Brad M. Hopkins, Saied Taheri
Proc. ASME. JRC2011, 2011 Joint Rail Conference, 77-84, March 16–18, 2011
Publisher: American Society of Mechanical Engineers
Paper No: JRC2011-56026
https://doi.org/10.1115/JRC2011-56026
View Paper titled, Broken Rail Prediction and Detection Using Wavelets and Artificial Neural Networks
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Topics: Artificial neural networks, Rails, Wavelets, Algorithms, Signals, Flaw detection, Data acquisition systems, Fourier transforms, Pattern recognition, Railroads
Proceedings Papers

Ultrasonic Acoustic Health Monitoring of Ball Bearings Using Neural Network Pattern Classification of Power Spectral Density

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William Kirchner, Steve Southward, Mehdi Ahmadian
Proc. ASME. JRC2010, 2010 Joint Rail Conference, Volume 2, 255-265, April 27–29, 2010
Publisher: American Society of Mechanical Engineers
Paper No: JRC2010-36240
https://doi.org/10.1115/JRC2010-36240
View Paper titled, Ultrasonic Acoustic Health Monitoring of Ball Bearings Using Neural Network Pattern Classification of Power Spectral Density
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Topics: Acoustics, Artificial neural networks, Ball bearings, Spectral energy distribution, Acoustic emissions, Bearings, Diesel, Failure, Locomotives, Microphones
Proceedings Papers

Forecasting of the Track State Using BP Neural Network Based on Kalman Filtering

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Chaolong Jia, Weixiang Xu, Xumin Liu
Proc. ASME. JRC2010, 2010 Joint Rail Conference, Volume 1, 293-298, April 27–29, 2010
Publisher: American Society of Mechanical Engineers
Paper No: JRC2010-36163
https://doi.org/10.1115/JRC2010-36163
View Paper titled, Forecasting of the Track State Using BP Neural Network Based on Kalman Filtering
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Topics: Artificial neural networks, Filtration
Proceedings Papers

A Nonlinear Rail Vehicle Dynamics Computer Program SAMS/Rail: Part 3—Applications to Predict Railroad Vehicle-Track Interaction Performance

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Khaled E. Zaazaa, Timothy P. Martin, Brian Whitten, Brian Marquis, Erik Curtis, Magdy El-Sibaie, Ali Tajaddini
Proc. ASME. JRC2009, 2009 Joint Rail Conference, 165-173, March 4–5, 2009
Publisher: American Society of Mechanical Engineers
Paper No: JRC2009-63046
https://doi.org/10.1115/JRC2009-63046
View Paper titled, A Nonlinear Rail Vehicle Dynamics Computer Program SAMS/Rail: Part 3—Applications to Predict Railroad Vehicle-Track Interaction Performance
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Topics: Computer software, Dynamics (Mechanics), Rail vehicles, Railroads, Rails, Vehicles, Artificial neural networks, Wheels, Simulation, Dynamic response
Proceedings Papers

Investigation of Train Dynamics in Passing Through Curves Using a Full Model

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Mohammad Durali, Mohammad Mehdi Jalili Bahabadi
Proc. ASME. RTD2004, Joint Rail, 83-88, April 6–8, 2004
Publisher: American Society of Mechanical Engineers
Paper No: RTD2004-66044
https://doi.org/10.1115/RTD2004-66044
View Paper titled, Investigation of Train Dynamics in Passing Through Curves Using a Full Model
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Topics: Dynamics (Mechanics), Trains, Artificial neural networks, Degrees of freedom, Equations of motion, Geometry, Rails, Wheels