All submitted abstracts will be reviewed. Abstracts received by the original closing date of 20 February 2017
will be given priority.
We are no longer accepting abstract submissions. Thank you for your interest in the conference.
Abstracts are due by 20 February 2017.
Technical and research topics for abstract consideration includes, but not limited to:
|•Rail flaws and broken rails
•Buckled track and rail stress
•Tie condition: wood, con- crete, composite/plastic, steel
Wood - internal decay
Concrete - strength, corrosion, other
Steel - fatigue cracking, corrosion, other
•Rail wear and profile
|•Cracked or Broken Wheels
•Bearing defects & failures
•Cracked or broken axles
•Tank car condition
•Safety and security trespasser detection
•Remote visual inspection
•Low coherence interferometry
•Acoustic emission testing
•Vibration analysis •LIDAR/Radar
•Unmanned autonomous vehicles
•Autonomous data collection
|•Big data analysis |
•Sensor data fusion
•Video & image processing
•Inspection facility location
Abstract Submission Guidelines
Presentation topics will be evaluated based on the following criteria:
Abstract Quality - The abstract should clearly and concisely explain what the presentation will be about and its significance to railroad performance.
Timeliness - Of current and/or future interest and significance to the railroad industry.
Relevance to Railroads - Generally be on a railroad-specific application or on a topic that can be directly applied to railroad performance (but see #4 below).
Innovative - Concepts and technologies that are particularly innovative. Sometimes these may come from another field outside railroading and warrant presentation to expose the railroad industry to their potential.
Ability to Evaluate Success (or Failure) - If the topic represents application of a method, what can the presentation tell the audience about what did or did not work and why. The audience needs to be able to learn from the presentation.
Uniqueness - Topics that do not duplicate another in the session or conference.