Rail Vehicle Wheel Diameter Estimation via Vibration Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for determining the current wheel diameter of rail vehicle wheels are labor-intensive and costly, leading to significant downtimes, as they require manual measurement or calibration trips, which are inefficient and complicated.
Innovation Solution
A device equipped with wireless sensors to collect vibration data, which uses a computing unit to generate a predicted speed and a comparator unit to estimate the wheel diameter based on differences between the predicted speed and ground truth speed, allowing for continuous monitoring of wheel wear through frequency analysis and machine learning methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurement of wheel diameter is performed, then measurement accuracy is improved, but downtime and operational disruption increase
Solution Approach 1:
The patent replaces manual mechanical measurement methods with an automated sensor-based system. Acceleration sensors mounted on the wheel detect vibration signals, and a processing unit analyzes these signals to automatically determine wheel diameter, eliminating the need for manual intervention and vehicle downtime.
Solution Approach 2:
The system enables the wheel measurement function to serve itself automatically. The sensors mounted on the wheel continuously monitor vibration characteristics, and the processing unit autonomously calculates wheel diameter from these signals without requiring external measurement equipment or human operators.
2Measurement precision
If calibration trips on reference routes are conducted, then wheel diameter determination is improved, but complexity and cost increase
Solution Approach 1:
The patent extracts the wheel diameter measurement function from complex calibration trips and reference route requirements. By mounting acceleration sensors directly on the wheel, the system isolates the measurement capability to a simple, self-contained unit that determines wheel diameter from local vibration signals without needing external reference infrastructure.
3Measurement precision
If manual wheel diameter measurement is performed regularly, then wear monitoring accuracy is improved, but productivity and operational efficiency decrease
Solution Approach 1:
The system transforms wheel diameter measurement from a periodic manual task into a continuous automated process. Acceleration sensors continuously monitor wheel vibration signals, and the processing unit continuously calculates wheel diameter, enabling real-time wear monitoring without interrupting vehicle operations and maintaining constant productivity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient and continuous estimation of wheel diameter and wear, reducing downtime and operational costs by using vibration data to calculate the frequency shift and adapt predictive models for accurate wheel diameter assessment.
Implementation Method 1
an interface for collecting vibration data as vibrations, of at least one wheel, acting on the rail-based vehicle, as an acceleration of the rail-based vehicle, the vibrations being detectable using at least one wireless sensor
Data Source
AI summary
A device (9, 9a) for estimating a current wheel diameter of a wheel of a rail-based vehicle on a predetermined network of routes includes an interface (8) for collecting vibration data (5) of at least one wheel acting on the rail-based vehicle as an acceleration of the rail-based vehicle. The vibrations detectable using at least one wireless sensor (2a, 2b, 2c, 2d) arranged proximate the at least one wheel. A computing unit is configured for generating a predicted speed on the basis of the vibration data (5). A comparator unit is configured for estimating a wheel diameter based on differences between the predicted speed and an identified, corresponding ground truth speed (17).