A Machine Learning Based Methodology for Broken Rail Prediction on Freight Railroads: A Case Study in the United States

[1]  Xiang Liu,et al.  Statistical Analysis of Seasonal Effect on Freight Train Derailments , 2021 .

[2]  Hongyue Sun,et al.  Analyzing Risk of Service Failures in Heavy Haul Rail Lines: A Hybrid Approach for Imbalanced Data , 2021, Risk analysis : an official publication of the Society for Risk Analysis.

[3]  Ge Xin,et al.  Effect of distributed support of rail pad on vertical vehicle-track interactions , 2020 .

[4]  M. Wenner,et al.  Experimental investigation on the fatigue behaviour of rails in the transverse direction , 2020 .

[5]  Faeze Ghofrani,et al.  Forecasting Risk of Service Failures Between Successive Rail Inspections: A Data-Driven Approach , 2020, Journal of Big Data Analytics in Transportation.

[6]  Ping Wang,et al.  Impact of wheel profile evolution on wheel-rail dynamic interaction and surface initiated rolling contact fatigue in turnouts , 2019, Wear.

[7]  Faeze Ghofrani,et al.  Predicting rail defect frequency: An integrated approach using fatigue modeling and data analytics , 2019, Comput. Aided Civ. Infrastructure Eng..

[8]  Faeze Ghofrani,et al.  Exploring the impact of foot-by-foot track geometry on the occurrence of rail defects , 2019, Transportation Research Part C: Emerging Technologies.

[9]  Yan Wang,et al.  A XGBoost risk model via feature selection and Bayesian hyper-parameter optimization , 2019, International Journal of Database Management Systems.

[10]  Zhe Luo,et al.  Shakedown behaviors of railway ballast under cyclic loading , 2017 .

[11]  Futian Wang,et al.  Estimating railway rail service life: A rail-grid-based approach , 2017 .

[12]  Bart De Schutter,et al.  A Big Data Analysis Approach for Rail Failure Risk Assessment , 2017, Risk analysis : an official publication of the Society for Risk Analysis.

[13]  Xiang Liu,et al.  Statistical Causal Analysis of Freight-Train Derailments in the United States , 2017 .

[14]  Nii O. Attoh-Okine,et al.  Using multiple adaptive regression to address the impact of track geometry on development of rail defects , 2016 .

[15]  Godfrey A. Mills,et al.  New Cluster Undersampling Technique for Class Imbalance Learning , 2016 .

[16]  Tianqi Chen,et al.  XGBoost: A Scalable Tree Boosting System , 2016, KDD.

[17]  Georges Kouroussis,et al.  Benchmarking railway vibrations – Track, vehicle, ground and building effects , 2015 .

[18]  Buyue Qian,et al.  Improving rail network velocity: A machine learning approach to predictive maintenance , 2014 .

[19]  Sanjin Milinković,et al.  Model for predicting the frequency of broken rails , 2012 .

[20]  Berta Suarez,et al.  Safety assessment of underground vehicles passing over highly resilient curved tracks in the presence of a broken rail , 2012 .

[21]  Mohd Rapik Saat,et al.  Analysis of Causes of Major Train Derailment and Their Effect on Accident Rates , 2012 .

[22]  Jacob Feldman,et al.  Conceptual complexity and the bias/variance tradeoff , 2011, Cognition.

[23]  Uwe Zerbst,et al.  Damage tolerance investigations on rails , 2009 .

[24]  R. D. Fröhling,et al.  Wheel/rail interface management in heavy haul railway operations—applying science and technology , 2007 .

[25]  L. Breiman.  Random Forests , 2001, Encyclopedia of Machine Learning and Data Mining.

[26]  Jonas W. Ringsberg,et al.  Life prediction of rolling contact fatigue crack initiation , 2001 .

[27]  Bart De Schutter,et al.  Probabilistic Defect-Based Risk Assessment Approach for Rail Failures in Railway Infrastructure , 2016, IFAC-PapersOnLine.

[28]  Rafiqul Zaman Khan,et al.  Methods to Avoid Over-Fitting and Under-Fitting in Supervised Machine Learning (Comparative Study) , 2014 .

[29]  G. Chattopadhyay,et al.  Parameter estimation for rail degradation model , 2009 .

[30]  C. Tyler Dick,et al.  Multivariate Statistical Model for Predicting Occurrence and Location of Broken Rails , 2003 .

[31]  Nitesh V. Chawla,et al.  SMOTE: Synthetic Minority Over-sampling Technique , 2002, J. Artif. Intell. Res..

[32]  Dingqing Li,et al.  Wheel/Track Dynamic Interaction: Track Substructure Perspective , 1995 .