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A Smart Multi-Rate Data Fusion Method for Displacement Reconstruction of Beam Structures
Qing Zhang1, Xing Fu1, Zhiguo Sun2
1State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116023, China.
Sensors (Basel, Switzerland)
|May 20, 2022
Summary
This study introduces a smart method for reconstructing structural dynamic displacement using acceleration and strain data. The novel approach accurately reconstructs displacement, even with noise, enhancing structural health monitoring capabilities.
Area of Science:
- Structural Engineering
- Vibration Analysis
- Signal Processing
Background:
- Direct displacement measurement in structural health monitoring faces challenges like device installation difficulties.
- Accurate dynamic displacement data is crucial for assessing structural integrity.
Purpose of the Study:
- To propose a smart, real-time method for reconstructing structural dynamic displacement.
- To overcome limitations of direct displacement measurement techniques.
Main Methods:
- Combines improved mode superposition methods for complex beam structures with Kalman filtering.
- Utilizes acceleration and strain data for multi-rate data fusion.
Main Results:
- Demonstrated effectiveness through numerical simulations and experimental vibration tests.
- Achieved a low reconstruction error of 5% even with a 5 dB noise signal-to-noise ratio.
- Successfully reconstructed both high-frequency and low-frequency components of dynamic displacements.
Conclusions:
- The proposed method offers excellent anti-noise performance and robustness for dynamic displacement reconstruction.
- This intelligent online reconstruction method enhances structural health monitoring.
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