A Real-Time Monitoring System for Cable Tension with Vibration Signals Based on an Automated Algorithm to Sieve Out Reliable Modal Frequencies

Cables or suspenders are the critical force-transmitting components of cable-supported bridges, and their timely tension monitoring is consequently most important issue in corresponding structural health monitoring. However, very few works regarding full automation vibration-based estimation have been reported literature. To develop a system cable based on real-time vibration signals, this research first employs an efficient stochastic subspace identification (SSI) method with tailored parameter selection to continuously identify three frequencies adjacent modes for cables Mao-Luo-Hsi Bridge. More importantly, automated sieving algorithm delicately established obtain stable modal by making best specific frequency distribution cables. The ratios between values identified from SSI analysis exhaustively checked systematically extract qualified decide mode orders. finally computed one available according priority order predetermined statistics rate. Demonstrated analyzing signals measured stay Bridge real time two years, effectiveness robustness extensively testified. long-term success rates immediate determination dependable found be perfect 15 18 investigated As other cables, still higher than 99.99% cases absent false values.