On the optimal location of sensors for parametric identification of linear structural systems

✍ Scribed by P.H. Kirkegaard; R. Brincker

• Publisher: Elsevier Science
• Year: 1994
• Tongue: English
• Weight: 343 KB
• Volume: 8
• Category: Article
• ISSN: 0888-3270
• DOI: 10.1006/mssp.1994.1045

✦ Synopsis

An outline of the field of optimal location of sensors for parametric identification of linear structural systems is presented. There are few papers devoted to the case of optimal location of sensors in which the measurements are modeled by a random field with non-trivial covariance function. It is assumed most often that the results of the measurements are statistically independent random variables. In an example the importance of considering the measurements as statistically dependent random variables is shown. The covariance of the model parameters expected to be obtained is investigated with variations in the number and location of sensors. Further, the influence of noise on the optimal location of the sensors is investigated. It is found that the optimal locations of sensors seem to become less sensitive to e.g. the noise-to-signal ratio within increasing number of sensors.