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Wheel Out-of-Roundness Detection Using an Envelope Spectrum Analysis
Vítor Gonçalves1, Araliya Mosleh1, Cecília Vale1
1CONSTRUCT-LESE, Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal.
Sensors (Basel, Switzerland)
|February 28, 2023
Summary
This study uses envelope spectrum analysis to detect railway wheel flats and polygonal wheels. The method effectively distinguishes between healthy and defective wheels, crucial for rail safety.
Area of Science:
- Mechanical Engineering
- Railway Engineering
- Vibration Analysis
Background:
- Railway vehicle wheel defects, such as wheel flats and polygonal wheels, pose significant safety risks.
- Early detection of these defects is critical for preventing derailments and reducing maintenance costs.
Purpose of the Study:
- To develop and validate an envelope spectrum analysis method for detecting railway vehicle wheel flats and polygonal wheels.
- To evaluate the effectiveness of the proposed method under simulated track irregularities.
Main Methods:
- Simulated wheel flat profiles and polygonal wheel harmonic orders were analyzed.
- Track irregularity profiles based on US Federal Railroad Administration (FRA) standards were implemented.
- Dynamic responses from strain gauges and accelerometers on the rail were evaluated.
Main Results:
- Envelope spectrum analysis successfully differentiated between healthy and defective wheels.
- The methodology demonstrated robustness in detecting simulated wheel flats and polygonal wheels.
- Sensor data analysis confirmed the capability to identify specific defect types.
Conclusions:
- Envelope spectrum analysis is a viable technique for real-time detection of railway wheel defects.
- The proposed method offers a reliable approach to enhance railway safety and operational efficiency.
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