The Detecting Nonlinearity in Time Series of Ship Sway
Fan Da-peng · Ordnance Industry Automation · 2003
The methods identified the nonlinearity in the time series is based on the surrogate-data that come into being by the null hypothesis of linear characters such as average and variance of the original data. The correlation dimension is calculated and the statistical discriminating quantum of treatment data and surrogate-data is compared, and whether the null hypothesis is tenable is tested with mathematical statistics method. Taking nonlinear test of the real signal of ship inertial navigation system as an example, the correlation dimension was calculated and a few samples were tested. The result shows that treatment data accord with null hypothesis, and there is nonlinear factor in time series of ship sway.