AN EFFECTIVE METHOD FOR SELECTING PHYSICAL MODES BY VECTOR AUTOREGRESSIVE MODELS

✍ Scribed by M.M. ABDEL WAHAB; G. DE ROECK

• Publisher: Elsevier Science
• Year: 1999
• Tongue: English
• Weight: 531 KB
• Volume: 13
• Category: Article
• ISSN: 0888-3270
• DOI: 10.1006/mssp.1998.0193

✦ Synopsis

This paper describes an e$cient technique for the selection of relevant modes resulting from a vector autoregressive (ARV) model. The technique is based on plotting the deterministic and stochastic contributions of each mode separately. It helps to identify visually how strong a mode is present in the measured data of the system under consideration. The method is simple to program and applicable to any model based on the data-dependent system (DDS) methodology. In order to demonstrate the applicability of the technique, two examples are presented. In the "rst example, simulated data of a two-degree-of-freedom system are used, while in the second example, real data on a prestressed concrete bridge are considered.