JRC2019-1253 Big Data Analytics for Proactively Optimizing Rolling Stock Maintenance

JRC2019-1253 Big Data Analytics for Proactively Optimizing Rolling Stock Maintenance

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Veröffentlicht in:ASME Joint Rail Conference (2019 : Snowbird, Utah) Proceedings of the ASME Joint Rail Conference - 2019
1. Verfasser: Albakay, Naji (VerfasserIn)
Weitere Verfasser: Hempel, Michael (VerfasserIn), Sharif, Hamid (VerfasserIn)
Pages:2019
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2019
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JRC2019-1226 Application of Software Tools to Implement a Systems Engineering Process for Specification Development in a Brownfield Train Control Project 2019 Chy, John
JRC2019-1239 Study on Running Safety of Railway Tank Car Based on the Experimental Identification Model 2019 Jimin, Zhang
JRC2019-1300 Clustering Algorithms for Direct Current Track Coded Signals 2019 Qin, Song
JRC2019-1317 Improve Safety at Highway Crossings Through Predictive Behavior and Innovative Technologies 2019 Hofbauer, John
JRC2019-1298 Optimizing Railway Track Maintenance Scheduling to Minimize Circulation Impacts 2019 Bueno, Paulo M. S.
JRC2019-1231 Discovering Crash Severity Factors of Grade Crossing With a Machine Learning Approach 2019 Lee, Dahye
JRC2019-1223 Fuel Cell Rail Technology Review: A Tool for an Autonomous Rail Electrifying Strategy 2019 Barbosa, Fábio C.
JRC2019-1279 Studying the Effect of Tangential Forces on Rolling Contact Fatigue in Rails Considering Microstructure 2019 Ghodrati, Mohamad
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JRC2019-1329 How Staged Head-On Collisions Changed Public Perception of Railroads 2019 Thurston, Leanne
JRC2019-1266 Estimation of Rail Vertical Profile Using an H-Infinity Based Optimization With Learning 2019 Liang, Xiao
JRC2019-1269 A High Resolution Automated Prestressing Wire Indent Profiling System for Verification of Wire-Concrete Mix Compatibility 2019 Beck, B. Terry
JRC 2019-1271 Quantification of Vertical and Lateral Loads Using Strain Gauges: Eliminating the Wheatstone Bridge 2019 Johnson, D. Kody
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