Understanding and managing identification uncertainty of close modes in operational modal analysis

• Main Authors: Au, Siu-Kui, Brownjohn, James M. W., Li, Binbin, Raby, Alison
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Civil engineering; Ambient Modal Identification; BAYOMA
• Online Access: https://hdl.handle.net/10356/143940
• Institution: Nanyang Technological University

Close modes are much more difficult to identify than well-separated modes and their identification (ID) results often have significantly larger uncertainty or variability. The situation becomes even more challenging in operational modal analysis (OMA), which is currently the most economically viable...