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Cited by 44 publications
(10 citation statements)
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“…To meet the objectives of the study, the solution of the inverse problem using a time domain system identification technique is more appropriate (Hoshiya and Maruyama, 1987). Koh et al (1991Koh et al ( ,1995 were the first to formulate a sub-structural identification method to tackle the numerical problems associated with identifying large structural systems in time domain.…”
Section: Introductionmentioning
confidence: 99%
“…To meet the objectives of the study, the solution of the inverse problem using a time domain system identification technique is more appropriate (Hoshiya and Maruyama, 1987). Koh et al (1991Koh et al ( ,1995 were the first to formulate a sub-structural identification method to tackle the numerical problems associated with identifying large structural systems in time domain.…”
Section: Introductionmentioning
confidence: 99%
“…The Kalman filter, which incorporates both model and measurement uncertainties to achieve an optimal estimate of state variables with minimum error covariance matrix, is another possible choice to address the problem of simultaneous identification of system and excitation characteristics in some particular cases. For example, Hoshiya and Sutoh [7] developed a procedure to evaluate the parameters of a simply supported beam and characteristics of the running load on it based on the extended Kalman filter with a weighted global iteration (KF-WGI). In 1994, Benedetii and Gentile [8] presented a two-phase frequency domain method for structures subjected to ground motion, where the responses measurements at two locations of the system are assumed to be available and requirements for input information is elaborately avoided by using the ratio of the amplitude of Fourier transforms of the two recorded signals.…”
Section: Introductionmentioning
confidence: 99%
“…However, these techniques measure only static axle loads. Hoshiya and Maruyama [7] suggested an advanced method for identi"cation of a moving load running on beams. O'Connor and Chan [8] suggested another advanced force identi"cation method*the interpretative method I (IMI), which is able to measure both dynamic and static axle forces of multi-axle systems.…”
Section: Introductionmentioning
confidence: 99%