Wavelet transform-based bridge displacement monitoring data temperature effect separation method
By separating the temperature effect in bridge displacement data using wavelet transform and second-order blind identification methods, the problem of separating the temperature effect from the load effect in bridge displacement monitoring was solved, achieving high-precision temperature effect separation and improving the performance of bridge safety assessment and monitoring systems.
Patent Information
- Application Number
- CN202610513299.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-17
- Publication Date
- 2026-07-17
AI Technical Summary
The separation of temperature and load effects in bridge displacement monitoring data remains a challenge. Existing methods are insufficient in terms of accuracy and adaptability, which affects the accuracy of bridge safety status assessment.
The bridge displacement signal is decomposed into multiple intrinsic mode functions using a wavelet transform-based method. The empirical wavelet transform (EWT) is used for adaptive frequency band division and signal multi-scale decomposition. Combined with the second-order blind identification (SOBI) method, blind source separation is performed through the temporal structure characteristics of the signal, achieving high-precision separation of temperature effects.
It achieves high-precision separation of temperature effects in bridge displacement data, improves the accuracy of bridge safety assessment and the reliability of monitoring systems, optimizes bridge health monitoring and life prediction, and reduces false alarm rate and system cost.
Smart Images
Figure CN122412938A_ABST