Structural Performance Warning Based on Computer Intelligent Monitoring and Fractional-Order Multi-Rate Kalman Fusion Method

When bridge towers are subjected to strong winds, they exhibit significant displacements. This displacement change can serve as an important indicator for structural performance warning. The displacement and acceleration collected in real time by the intelligent bridge monitoring system are disturbed by various noises, resulting in missed alarms in the monitoring system and causing huge economic losses. This study employs the fractional-order Butterworth lowpass filter method, eliminating the maximum value method, triple standard deviation method, etc. for preprocessing abnormal monitoring data characterized by missing values and outlier points. A fractional-order multi-rate Kalman fusion is proposed to…

• NS
  Natural Science Foundation of Liaoning Province
• DO
  Department of Education of Liaoning Province