Development and application of high - sensitivity wireless smart sensors for decentralized stochastic modal identification / Hongki Jo in Journal of engineering mechanics, Vol. 138 N° 6 (Juin 2012)  

Public ISBD [article]  inJournal of engineering mechanics > Vol. 138 N° 6 (Juin 2012) . - pp.683-694 Titre : Development and application of high - sensitivity wireless smart sensors for decentralized stochastic modal identification Type de document : texte imprimé Auteurs : Hongki Jo, Auteur ; Sung-Han Sim, Auteur ; Tomonori Nagayama, Auteur Année de publication : 2012 Article en page(s) : pp.683-694 Note générale : Mécanique appliquée Langues : Anglais (eng) Mots-clés : 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 [article] Development and application of high - sensitivity wireless smart sensors for decentralized stochastic modal identification [texte imprimé] / Hongki Jo, Auteur ; Sung-Han Sim, Auteur ; Tomonori Nagayama, Auteur . - 2012 . - pp.683-694. Mécanique appliquée Langues : Anglais (eng) in Journal of engineering mechanics > Vol. 138 N° 6 (Juin 2012) . - pp.683-694 Mots-clés : 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

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