214 センサネットワークによる分散的モード同定アルゴリズム(セッション7 同定)

概要

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This paper concerns an algorithm for modal identification of large-scale structures by distributed sensor networks that have localized and decentralized computation capability. The sensor network assumed in the paper is to have a hierarchical structure consisting of a host, master nodes having relatively high computation capability with a communication channel between the center node, slave nodes detected and administrated ad hoc by the nearest master node. The modal parameters to be identified are classified in local and global ones, then the dependency relations between the parameters and the sensor measurements are modeled by a Bayesian network. An algorithm to calculate the posterior of the modal parameters by Bayesian inference algorithms is presented. The proposed approach would be advantageous in a large scale sensor network with hundreds of nodes because the raw data will transmitted only between the slave nodes and their master node.
社団法人日本機械学会の論文
2007-12-04