WAVELET-BASED SIGNAL ANALYSIS TECHNIQUE AND ITS APPLICATION TO REAL-TIME SIGNAL PROCESSING OF STRUCTURAL HEALTH MONITORING
Wavelet transform is a robust mathematical tool for signal analysis, which has the capability of showing local character of signal in time domain and frequency domain. Using the multi-resolution ability of wavelet analysis and Lipschitz exponent, we can separate noise signal into several detail signals and approximation signal distinguishing from the traditional method. At the same time, with the help of wavelet packet analysis, the energy distribution eigenvector of structural response can be obtained. Based on the structural health monitoring (SHM) system of Nanjing Yangtze river bridge (NYRB), the multi-resolution information express of real-time monitoring signals was obtained, the noise of real- time monitoring signal was eliminated and the energy distribution eigenvector under different conditions were obtained by wavelet and wavelet packet analysis, which can enrich our cognition of character reflected by signals and help us to exactly distinguish the structure condition. These results demonstrate that wavelet-based signal analysis technique is a useful tool for real-time monitoring signal processing.
X.H. He Z.W. Yu Z.Q. Chen S.J. Fang
School of Civil Engineering and Architectural, Central South University, Changsha 410075, P.R. China School of Civil Engineering, Hunan University, Changsha 410082, P.R. China
国际会议
长沙
英文
922-928
2007-11-19（万方平台首次上网日期，不代表论文的发表时间）