Development and Application of High-Sensitivity Wireless Smart Sensors for Decentralized Stochastic Modal Identification

Hongki Jo, Sung Han Sim, Tomonori Nagayama, B. F. Spencer

Research output: Contribution to journalArticle

47 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)683-694
Number of pages12
JournalJournal of Engineering Mechanics
Volume138
Issue number6
DOIs
StatePublished - Jun 4 2012
Externally publishedYes

Fingerprint

Smart sensors
Structural health monitoring
Sensor networks
Sensors
Costs
Heterogeneous networks
Modal analysis
Accelerometers
Feature extraction
Synchronization
Processing

Keywords

  • Decentralized sensor network
  • High-sensitivity sensor
  • Structural health monitoring
  • System identification
  • Wireless smart sensor network

ASJC Scopus subject areas

  • Mechanical Engineering
  • Mechanics of Materials

Cite this

Development and Application of High-Sensitivity Wireless Smart Sensors for Decentralized Stochastic Modal Identification. / Jo, Hongki; Sim, Sung Han; Nagayama, Tomonori; Spencer, B. F.

In: Journal of Engineering Mechanics, Vol. 138, No. 6, 04.06.2012, p. 683-694.

Research output: Contribution to journalArticle

@article{7462e607b7fd488b9e51561255091d91,
title = "Development and Application of High-Sensitivity Wireless Smart Sensors for Decentralized Stochastic Modal Identification",
abstract = "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.",
keywords = "Decentralized sensor network, High-sensitivity sensor, Structural health monitoring, System identification, Wireless smart sensor network",
author = "Hongki Jo and Sim, {Sung Han} and Tomonori Nagayama and Spencer, {B. F.}",
year = "2012",
month = "6",
day = "4",
doi = "10.1061/(ASCE)EM.1943-7889.0000352",
language = "English (US)",
volume = "138",
pages = "683--694",
journal = "Journal of Engineering Mechanics - ASCE",
issn = "0733-9399",
publisher = "American Society of Civil Engineers (ASCE)",
number = "6",

}

TY - JOUR

T1 - Development and Application of High-Sensitivity Wireless Smart Sensors for Decentralized Stochastic Modal Identification

AU - Jo, Hongki

AU - Sim, Sung Han

AU - Nagayama, Tomonori

AU - Spencer, B. F.

PY - 2012/6/4

Y1 - 2012/6/4

N2 - 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.

AB - 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.

KW - Decentralized sensor network

KW - High-sensitivity sensor

KW - Structural health monitoring

KW - System identification

KW - Wireless smart sensor network

UR - http://www.scopus.com/inward/record.url?scp=84861914685&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84861914685&partnerID=8YFLogxK

U2 - 10.1061/(ASCE)EM.1943-7889.0000352

DO - 10.1061/(ASCE)EM.1943-7889.0000352

M3 - Article

AN - SCOPUS:84861914685

VL - 138

SP - 683

EP - 694

JO - Journal of Engineering Mechanics - ASCE

JF - Journal of Engineering Mechanics - ASCE

SN - 0733-9399

IS - 6

ER -