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

AbstractState-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 ful...

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Published inJournal of Engineering Mechanics Vol. 138; no. 6; pp. 683 - 694
Main Authors Jo, Hongki, Sim, Sung-Han, Nagayama, Tomonori, Spencer, B. F
Format Journal Article
LanguageEnglish
Published Reston, VA American Society of Civil Engineers 01.06.2012
American Society of Civil Engineers (ASCE)
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Online AccessGet full text
ISSN0733-9399
1943-7889
DOI10.1061/(ASCE)EM.1943-7889.0000352

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Abstract AbstractState-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.
AbstractList AbstractState-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.
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 Techniqueabased 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.
Author Sim, Sung-Han
Jo, Hongki
Nagayama, Tomonori
Spencer, B. F
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  organization: Univ. of Illinois at Urbana-Champaign Nathan M. and Anne M. Newmark Endowed Chair in Civil Engineering, , Urbana, IL 61801 (corresponding author). E-mail
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Issue 6
Keywords Modal analysis
Wireless telecommunication
Data transmission
Processing time
Identification
Vibration test
Structural health monitoring
Large-scale structure
High-sensitivity sensor
Vibrations
High sensitivity
Modelling
System identification
Microelectromechanical device
Pattern extraction
Monitoring
Metering
Accelerometers
Probabilistic approach
Probe instruments
Measurement sensor
Unfolding
Data processing
Pattern recognition
Synchronization
Intelligent sensors
Wireless network
Stochastic models
Sensor array
Decentralized sensor network
Wireless smart sensor network
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Snippet AbstractState-of-the-art smart sensor technology enables deployment of dense arrays of sensors, which is critical for structural health monitoring (SHM) of...
State-of-the-art smart sensor technology enables deployment of dense arrays of sensors, which is critical for structural health monitoring (SHM) of complicated...
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SubjectTerms Ambient vibrations
Boards
Civil structure
Cost-effective means
Decentralized
Dense arrays
Exact sciences and technology
Experimental modal analysis
Fundamental areas of phenomenology (including applications)
General equipment and techniques
Global time synchronizations
High-sensitivity
High-sensitivity sensor
Instruments, apparatus, components and techniques common to several branches of physics and astronomy
Low resolution
Measurement and testing methods
Mechanical instruments, equipment and techniques
Micromechanical devices and systems
Modal identification
Natural excitations
Networks
Physics
Reference sensors
Sensor arrays
Sensors
Sensors (chemical, optical, electrical, movement, gas, etc.); remote sensing
Smart sensor technology
Smart sensors
Solid mechanics
Spectral estimate
Structural and continuum mechanics
Structural health monitoring
Technical Papers
Vibration, mechanical wave, dynamic stability (aeroelasticity, vibration control...)
Wired and wireless
Wireless networks
Wireless smart sensors
Title Development and Application of High-Sensitivity Wireless Smart Sensors for Decentralized Stochastic Modal Identification
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