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Measuring Acoustic Roughness of a Longitudinal Railhead Profile Using a Multi-Sensor Integration Technique
Dahae Jeong1, Han Shin Choi2, Yong Je Choi3
1Deptpartment of Robotics and Virtual Engineering, University of Science & Technology, Daejeon 34113, Korea. dahaejeong1@gmail.com.
Sensors (Basel, Switzerland)
|April 17, 2019
Summary
Accurate measurement of railway wheel and rail roughness is crucial. A new Automatic Rail Checker (ARCer) system with a novel algorithm minimizes measurement deviations for improved railway transport safety.
Area of Science:
- Railway Engineering
- Acoustics
- Metrology
Background:
- Accurate measurement of wheel-rail friction noise is essential for railway transport safety.
- Existing single-sensor systems for measuring rail surface roughness exhibit significant measurement deviations.
- Limitations in current mobile measurement systems hinder precise acoustic roughness assessment.
Purpose of the Study:
- To develop an advanced mobile measurement platform for assessing acoustic roughness of rail profiles.
- To introduce a novel chord offset synchronization algorithm to enhance measurement accuracy.
- To minimize limitations and deviations associated with mobile rail measurement systems.
Main Methods:
- Development of the Automatic Rail Checker (ARCer), a mobile platform for constant-speed acoustic roughness measurement.
- Implementation of a new chord offset synchronization algorithm utilizing three displacement sensors.
- Field testing of the ARCer system and algorithm on rails with varying surface wear conditions.
Main Results:
- The ARCer system successfully measured acoustic roughness of longitudinal railhead profiles.
- The novel algorithm significantly improved measurement accuracy by minimizing deviations.
- Field tests validated the system's performance across different rail wear states.
Conclusions:
- The Automatic Rail Checker (ARCer) system and its accompanying algorithm provide a more accurate method for measuring rail acoustic roughness.
- This advancement addresses limitations in existing systems, reducing measurement deviations.
- The validated system enhances the potential for improved railway transport safety and maintenance through precise roughness assessment.
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