Research Article
Design and Implementation of a Structural Health Monitoring System for a Large Sea-Crossing Project with Bridges and Tunnel
Table 2
Data analysis methods [
5,
26].
| | Methods | Advantages | Disadvantages |
| | KF | Good signal-noise ratio;
good estimation of change in time | Time consuming;
requires parameter calibration;
limited convergence speed and tracking accuracy | | FFT | Nonlinear model;
model linear and nonlinear system;
ease of implementation;
simplicity | Not applicable for complex system;
requires calibration to find model order;
sensitive to noise;
only frequency-domain representation | | MUSIC | High resolution in frequency domain;
closely spaced modes can be estimated | Time consuming | | SFFT | Ease of implementation;
time-frequency-domain representation;
simplicity | Requires large quantity of samples;
limited time-frequency resolution;
not applicable for nonlinear and transient signals | | WT | Good time-frequency resolution;
good signal-noise ratio;
a mother wavelet can be used for different application | Spectral leakage;
requires several levels of decomposition;
mother wavelet will affect the results;
“end effect” is significant | | ST | Good time-frequency resolution;
high signal-noise ratio;
adaptive method;
ease of implementation | Time consuming;
requires calibration | | FST | Time saving;
good time-frequency resolution;
spectrum can be localized in time domain | The application in SHM systems need exploring | | HHT | Good time-frequency resolution;
high signal-noise ratio;
adaptive method;
ease of implementation | Mode mixing;
requires calibration | | BSS | Good signal-noise ratio;
closely spaced modes can be estimated;
good accuracy to separate frequency components | Requires calibration;
nonlinear and transient signals cannot be analyzed adequately |
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