Bayesian modal identification method based on general coherence model for asynchronous ambient data

• Main Authors: Zhu, Yi-Chen, Au, Siu-Kui
• 其他作者: School of Civil and Environmental Engineering
• 格式: Article
• 語言: English
• 出版: 2021
• 主題: Engineering::Civil engineering; Ambient Data; Asynchronous Data
• 在線閱讀: https://hdl.handle.net/10356/149990
• 機構: Nanyang Technological University

A Bayesian frequency domain method for modal identification using asynchronous ambient data has been proposed previously. It provides a flexible and economical way to conduct ambient vibration tests as time synchronisation among data channels is not required. To simplify computation, zero coherence...