Nonlinear vibration signal tracking of large offshore bridgestayed cable based on particle filter
The stayed cables are key stress components of large offshore bridge. The fault detection of stayed cable is very important for safe of large offshore bridge. A particle filter model and algorithm of nonlinear vibration signal are used in this paper. Firstly, the particle filter model of stayed cable of large offshore bridge is created. Nonlinear dynamic model of the stayed-cable and beam coupling system is dispersed in temporal dimension by using the finite difference method. The discrete nonlinear vibration equations of any cable element are worked out. Secondly, a state equation of particle filter is fitted by least square algorithm from the discrete nonlinear vibration equations. So the particle filter algorithm can use the accurate state equations. Finally, the particle filter algorithm is used to filter the vibration signal of bridge stayed cable. According to the particle filter, the de-noised vibration signal can be tracked and be predicted for a short time accurately. Many experiments are done at some actual bridges. The simulation experiments and the actual experiments on the bridge stayed cables are all indicating that the particle filter algorithm in this paper has good performance and works stably
- 1. Chen Shuisheng, Sun Bingnan, “Numerical Study on Nonlinear Parametric Vibration of Coupled Cables and Bird Gedecks”, Chinese Journal of Civil Engineering, Vol.36, No.4, pp.70-75, 2003.
- 2. Gattulli V, Morandini M, Paolone A, “Parametric Analytical Model for Non-Linear Dynamics in CableStayed Beam”, Earthquake Engineering and Structural Dynamic, Vol.31, pp.1281-1300, 2002.
- 3.  Guillaume Thirel, Peter Salamon, Peter Burek and Milan Kalas. Assimilation of MODIS Snow Cover Area Data in a Distributed Hydrological Model Using the Particle Filter. Remote Sensing, Vol.5, No.11, pp.58255850, 2013.
- 4. Han Gao and Jingwen Li . “Detection and Tracking of a Moving Target Using SAR Images with the Particle FilterBased Track-Before-Detect Algorithm”. Sensors, Vol.14, No.6, pp. 10829-10845, 2014.
- 5. Hong weiming, Gao lili, “Vibration Analysis of Nonlinear Coupling System of cable-stayed beam”, Journal of Vibration Engineering, Vol.21, No.2, pp.115-119, 2008.
- 6. K.B.Waghulde, Dr. Bimlesh Kumar, “Vibration Analysis of Cantilever Smart Structure by using Piezoelectric Smart Material”, International Journal on Smart Sensing and Intelligent Systems, Vol.4, No.3, pp.354-375, 2011.
- 7. Matsumoto M, Shiraishi N, Shirato H, “Rain-Wind Induced Vibration of Cables of Cable-Stayed Bridge”. Journal of Wind Engineering and Industrial Aerodynamics, Vol.41, pp.2011-2022, 1992.
- 8. Olivier Brun, Vincent Teuliere, Jean-Marie Garcia, “Parallel Particle Filtering”, Journal of Parallel and Distributed Computing, Vol.62, pp.1186-1202, 2002.
- 9. Tagata G. Harmonically Forced, “Finite Amplitude Vibration of a String”, Journal of Sound and Vibration, Vol.51, No.4, pp.483-492, 1977.
- 10. Wang Zhigang, Sun Bingnan, “Parametric Vibration of Cable-Stayed Bridge”, Chinese Journal of Civil Engineering, Vol.35, No.5, pp.28-33, 2002.
- 11. Ye Qingwei, Wang Tongqing, “Optimization modal analysis with PSO based on spectrum segmentation”, Chinese Journal of Scientific Instrument, Vol.20, No.8, pp.1584-1590, 2009.
- 12. Zhao Yueyu, Lv Jiangen, “Non-linear Parametric Vibration of Cables in Cable-arch Composite Structures”, Chinese Journal of Civil Engineering, Vol.39, No.12, pp.67-77, 2006.