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Improved Denoising of Structural Vibration Data Employing Bilateral Filtering
1School of Civil Engineering, Jilin Jianzhu University, Changchun 130118, China.
Sensors (Basel, Switzerland)
|March 11, 2020
Summary
Bilateral filtering effectively removes noise from structural vibration signals, improving damage detection accuracy. This method preserves crucial signal details better than traditional techniques.
Area of Science:
- Structural Health Monitoring
- Signal Processing
- Data Analysis
Background:
- Vibration response signals are crucial for structural damage detection.
- Noise interference during data acquisition and transmission reduces detection accuracy.
- Existing denoising methods may compromise signal integrity.
Purpose of the Study:
- Introduce and evaluate bilateral filtering for noise suppression in structural vibration signals.
- Compare the denoising performance of bilateral filtering against median and wavelet denoising.
- Enhance the accuracy of structural damage identification through improved signal quality.
Main Methods:
- Bilateral filtering, adapted from image processing, was applied to vibration signals.
- A bilateral filtering kernel was constructed using spatial proximity and numerical similarity Gaussian functions.
- Time-frequency analysis and spectrum energy calculations were used for comparison.
- Simulated and experimental vibration data were processed.
Main Results:
- Bilateral filtering significantly suppressed noise interference in vibration signals.
- The method effectively preserved essential signal details compared to other techniques.
- Data quality for structural damage detection was demonstrably improved.
- Median filtering and wavelet denoising showed limitations in preserving signal details.
Conclusions:
- Bilateral filtering is a feasible and effective method for denoising structural vibration signals.
- It offers superior performance in maintaining signal fidelity while removing noise.
- The technique enhances the reliability of structural damage detection systems.
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