Research on Modal Identification of High- Speed Maglev Guideway Structure Based on Data Fusion and Genetic Algorithm

Abstract

High-speed maglev guideway structures are an important part of high-speed maglev transportation systems. A precise and efficient modal identification method for guideway structures is proposed to study the dynamic characteristics of highspeed maglev systems. Ensuring the safety of high-speed maglev transportation systems is of great significance. Taking the high-speed maglev guideway structure as the research object, this paper proposes a method for optimizing the sensor arrangement based on a genetic algorithm and a method for identifying the multiorder modes of the guideway structure based on data fusion. By optimizing the arrangement of the piezoelectric acceleration sensors and fiber Bragg grating sensors, data on the various dynamic characteristics of the high-speed maglev guideway structure under the excitation of high-speed maglev trains were obtained. The multimode characteristics of the high-speed maglev guideway structure were identified using the natural excitation technique and eigensystem realization algorithm through the fusion of multisource data of different types of dynamic characteristics in this study. The effectiveness of the proposed method is demonstrated by comparing the results of modal identification in different situations, for instance fusion of multi-source data. The research results indicate that the optimization of the arrangement scheme of sensors of high-speed maglev guideway structures based on genetic algorithm can effectively reduce the number of sensors on the premise of ensuring the accuracy of modal identification results, and multisource data fusion can significantly improve the accuracy of modal identification of the guideway structure, which proves the efficiency and accuracy of the methods proposed in this paper. The research results can provide effective methods for optimizing the sensor arrangement scheme for testing the dynamic characteristics and analyzing the dynamic characteristics of high-speed maglev guideway structures.