— A novel damage localization method is proposed, which is based on a substructuring approach and makes use of Vector Auto-Regressive with eXogenous input (VARX) models. The substructuring approach aims to divide the monitored structure into several multi-DOF isolated substructures. Later, each individual substructure is modeled by a VARX model, and the health of each substructure is determined...

Abstrak
 Salah satu penyumbang pertumbuhan perekonomian Indonesia adalah sektor pariwisata. Menurut asalnya wisatawan dibagi menjadi dua yaitu lokal dan mancanegara. Kunjungan mancanegara ke mengalami fluktuaktif setiap bulannya. kedatangannya, yang masuk melalui jalur udara, laut, darat. COVID-19 memberikan dampak terhadap Diduga bahwa mempengaruhi kedatangan Tujuan dari penelitian ini me...

A SHM method is proposed that minimises the required number of sensors for detecting damage. The damage detection method consists of two steps. In an initial characterization step, substructuring approach is applied to the healthy structure in order to isolate the substructures of interest and later, each substructure is identified by a Vector Auto-Regressive with eXogenous inputs (VARX) model ...

This study aims to forecast the COVID-19 spread in Indonesia involving vaccination factors using vector autoregressive with exogenous variables (VARX). The represented by active, recovered, and death case rate indicators acts as endogenous variables, while second-dose rates variables. Because sum of three one day is one, only two highest correlation are involved VARX modelling. other indicator ...

This study shows that the informativity for identification of partially observable systems is equivalent to designing dynamical measurement-feedback stabilizers. finding entirely different from input-state case, where direct data-driven design state-feedback stabilizers requires less than system identification. We derive equivalence between two types based on a newly introduced vector autoregre...

Recursive subspace model identification (RSMI) has been developed for a decade. Most of RSMIs are only applied for open loop data. In this paper, we propose a new recursive subspace model identification which can be applied under open loop and closed loop data. The key technique of this derivation of the proposed algorithm is to bring the Vector Auto Regressive with eXogenous input (VARX) model...