Pregled bibliografske jedinice broj: 246839
Deformation Analysis With Modified Kalman-Filters
Deformation Analysis With Modified Kalman-Filters // 10th FIG International Symposium on Deformation Measurements
Orange, 2001. str. 302-310 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 246839 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Deformation Analysis With Modified Kalman-Filters
Autori
Mastelić Ivić, Siniša ; Kahmen, Heribert
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
10th FIG International Symposium on Deformation Measurements
/ - Orange, 2001, 302-310
Skup
10th FIG International Symposium on Deformation Measurements
Mjesto i datum
Orange (CA), Sjedinjene Američke Države, 19.04.2001. - 22.04.2001
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
kalman filter; deformation
Sažetak
Kalman filtering can be considered a suitable tool for deformation analysis as it is a multipleinput, multiple-output digital filter that can optimally estimate, in real time, the states of a system based on its noisy outputs. The states are all the variables needed to completely describe the system behaviour of the deformation process as a function of time (such as position, velocity, ...). One can think of the multiple noisy outputs as a multidimensional signal plus noise with the system states being the desired unknown signals. The Kalman filter filters the noisy measurements to estimate the desired signals. The estimates are statistically optimal as they minimize the mean square estimation error. The standard Kalman filter is a a low-pass filter. Therefore it can only be applied for the estimation of low frequency deformation signals. However, in many cases, the deformation process is described by a very complex spectrum of high and low frequency signals. With this publication will be shown, how modified Kalman filters can meet these requirements. The modified filters are based on the correlation functions of the processes. Measurements, taken with a multi sensor hydrostatic levelling system in a nuclear power station, are used to clarify the concepts.
Izvorni jezik
Engleski
Znanstvena područja
Geodezija