Selection on Wavelet Base for the Detection of Ship Pitching Movement Disturbances

Abstract

Wavelet analysis is becoming a useful tool because it allows the decomposition of data functions into different frequency or scale components. Accordingly wavelet transforms are to be suited to analyze short-timed high-frequency phenomena. The remarkable ability of wavelets to highlight the singularities associated with shocks present in the ship pitch field is explored. In the detection of ship pitch disturbance, It was observed in the singularity signal the sharp points were located at the position responding to the end or the start of disturbances. Singularity theory of detecting signal based on wavelet transform was applied to the local detection of these sharp points, the mother wavelet option method is studied .Simulations verify the detecting validity and accuracy of the selected mother wavelet.