| Titre : | Development and application of high - sensitivity wireless smart sensors for decentralized stochastic modal identification (2012) |
| Auteurs : | Hongki Jo, Auteur ; Sung-Han Sim, Auteur ; Tomonori Nagayama, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | Journal of engineering mechanics (Vol. 138 N° 6, Juin 2012) |
| Article en page(s) : | pp.683-694 |
| Note générale : | Mécanique appliquée |
| Langues : | Anglais |
| Tags : | Structural health monitoring Wireless smart sensor network High-sensitivity System identification Decentralized |
| Résumé : | State-of-the-art smart sensor technology enables deployment of dense arrays of sensors, which is critical for structural health monitoring (SHM) of complicated and large-scale civil structures. Despite recent successful implementation of various wireless smart sensor networks (WSSNs) for full-scale SHM, the low-cost micro-electro-mechanical systems (MEMS) sensors commonly used in smart sensors cannot readily measure low-level ambient vibrations because of their relatively low resolution. Combined use of conventional wired high-sensitivity sensors with low-cost wireless smart sensors has been shown to provide improved spectral estimates of response that can lead to improved experimental modal analysis. However, such a heterogeneous network of wired and wireless sensors requires central collection of an enormous amount of raw data and off-network processing to achieve global time synchronization; consequently, many of the advantages of WSSNs for SHM are lost. In this paper, the development of a new high-sensitivity accelerometer board (SHM-H) for the Imote2 wireless smart sensor (WSS) platform is presented. The use of a small number of these high-sensitivity WSSs, composed of the SHM-H and Imote2, as reference sensors in the Natural Excitation Technique—based decentralized WSSN strategy is explored and is shown to provide a cost-effective means of improving modal feature extraction in the decentralized WSSN for SHM. |
| ISSN : | 0733-9399 |
| En ligne : | http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29EM.1943-7889.0000352 |
