Application of Extreme Value Extraction Based on Morphology in Marine Signal Processing
The extraction of the local extremum from dynamic response signals is crucial for the health diagnosis of marine engineering structures under cyclic loads.However,traditional local extremum extraction methods have limited application scope and low efficiency.To address this issue,a novel method based on mathematical morphology is proposed to extract local extremum in complex marine working environments.By using the morphological expansion algorithm and probe,accurate extraction of local extremum from dynamic response signals with strong randomness characteristics in marine engineering structures has been successfully achieved.The algorithm is validated by analyzing data from scour tests conducted on large diameter single piles,allowing the dynamic response behavior of single piles to be studied using this method.The results show that the proposed morphology-based approach accurately extracts the local extremum from the response signals of marine engineering structures.Furthermore,the statistical analysis of the dynamic responses obtained by this method reflects the evolutionary process of pile structures during scour stages under wave action.This methodology not only provides a new approach for processing dynamic response signals of marine engineering structures and automatic analysis of massive monitoring data,but also offers a new perspective for scour monitoring in marine engineering pile foundations.
morphologydynamic response signallocal extreme value extractionoffshore engineering structuredata analysis
万方数据
维普
