Tire Deformation Sensing via Spectral Analysis of Rolling Signals
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Solution Overview
Problem
Measurement signals from sensors on a terrestrial vehicle's mounted assembly are disrupted by rotation and external forces, making it challenging to obtain accurate, cleaned measurements of tire casing deformation.
Innovation Solution
A method involving fastening sensors to the tire casing, acquiring temporal signals, constructing wheel-turn signals, determining reference speeds, normalizing signals, angularly resampling, performing spectral analysis, and identifying spectral variables to determine tire casing deformation as a scalar value.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors are mounted on the tire casing to measure deformation, then measurement capability is improved, but measurement signals are disrupted by rotation and external forces
Solution Approach 1:
The patent converts the harmful effect of tire rotation and external forces into useful information by using spectral analysis to identify characteristic frequencies. The disruption signals contain information about tire deformation patterns, and by analyzing the spectral content, the system extracts meaningful deformation data from what would otherwise be noise.
Solution Approach 2:
The patent introduces spectral analysis as an intermediary processing step between the raw sensor signals and the final deformation measurement. This intermediary transforms the time-domain signals into the frequency domain, allowing separation of deformation-related signals from rotation-related disruptions through spectral variable identification.
2Measurement precision
If signal processing steps are added to clean measurement signals, then measurement accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent replaces complex mechanical signal filtering with mathematical spectral analysis. Instead of using physical filters or mechanical dampers to remove disruption signals, the system uses Fourier transform-based spectral analysis to identify and isolate deformation signals based on their frequency characteristics.
Solution Approach 2:
The patent changes the domain parameter from time-domain signals to frequency-domain spectral signals. By transforming the signal representation and analyzing spectral variables, the system simplifies the separation of deformation signals from disruption signals, as they occupy different frequency regions in the spectral domain.
Data Source
AI summary
A method for ascertaining the deformation of a tire comprises: fastening to the tire a sensor able to generate a signal sensitive to the movement of the sensor; acquiring (201) a temporal wheel-turn signal SigTDR (101) comprising the amplitude of the movement while rolling; determining a reference speed Wreference (202) associated with a portion of the wheel-turn signal SigTDR; normalizing (203) the portion of the wheel-turn signal SigTDR by a variable which is a function F of Wreference; angularly resampling (204) the portion of the wheel-turn signal SigTDR; obtaining the spectral signal (205) of the portion of the normalized and angularly resampled wheel-turn SigTDR; defining a spectral variable (206); and identifying the deformation of the tire Def % (207) as a function G of the spectral variable.