Abstract
Wireless smart sensor networks (WSSN) have many advances compared with traditional structural health monitoring (SHM) such as wireless process, real-time calculation and low cost. However power consumption is considered as one of the most limitations in this field. The unique features offered by decentralized data aggregation (DDA) technique with the potential to overcome power consumption enable implementation of the dense array of WSSN on large structures. This paper presents a system identification of a simply supported plate based on the random decrement technique (RDT) and natural excitation technique (NExT) in combination with eigensystem realization algorithm (ERA) using Illinois Structural Health Monitoring Project (ISHMP) Services Toolsuite. Finally the system parameters including natural frequency and mode shapes are in accordance with numerical simulation showing efficacy and feasibility of decentralized NExT/ERA and RDT/ERA system identification.
| Original language | English (US) |
|---|---|
| Title of host publication | Progress in Industrial and Civil Engineering |
| Pages | 4946-4951 |
| Number of pages | 6 |
| DOIs | |
| State | Published - Nov 27 2012 |
| Event | 2012 International Conference on Civil, Architectural and Hydraulic Engineering, ICCAHE 2012 - Zhangjiajie, China Duration: Aug 10 2012 → Aug 12 2012 |
Publication series
| Name | Applied Mechanics and Materials |
|---|---|
| Volume | 204-208 |
| ISSN (Print) | 1660-9336 |
| ISSN (Electronic) | 1662-7482 |
Other
| Other | 2012 International Conference on Civil, Architectural and Hydraulic Engineering, ICCAHE 2012 |
|---|---|
| Country | China |
| City | Zhangjiajie |
| Period | 8/10/12 → 8/12/12 |
Fingerprint
Keywords
- Decentralized data aggregation
- Eigensystem realization algorithm
- Natural excitation technique
- Random decrement technique
- Wireless smart sensors
ASJC Scopus subject areas
- Engineering(all)
Cite this
Decentralized NExT/ERA and RDT/ERA system identification in wireless smart sensor networks. / Cui, Dingyu; Xin, Kegui; Spencer, B. F.; Liu, Yufei.
Progress in Industrial and Civil Engineering. 2012. p. 4946-4951 (Applied Mechanics and Materials; Vol. 204-208).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Decentralized NExT/ERA and RDT/ERA system identification in wireless smart sensor networks
AU - Cui, Dingyu
AU - Xin, Kegui
AU - Spencer, B. F.
AU - Liu, Yufei
PY - 2012/11/27
Y1 - 2012/11/27
N2 - Wireless smart sensor networks (WSSN) have many advances compared with traditional structural health monitoring (SHM) such as wireless process, real-time calculation and low cost. However power consumption is considered as one of the most limitations in this field. The unique features offered by decentralized data aggregation (DDA) technique with the potential to overcome power consumption enable implementation of the dense array of WSSN on large structures. This paper presents a system identification of a simply supported plate based on the random decrement technique (RDT) and natural excitation technique (NExT) in combination with eigensystem realization algorithm (ERA) using Illinois Structural Health Monitoring Project (ISHMP) Services Toolsuite. Finally the system parameters including natural frequency and mode shapes are in accordance with numerical simulation showing efficacy and feasibility of decentralized NExT/ERA and RDT/ERA system identification.
AB - Wireless smart sensor networks (WSSN) have many advances compared with traditional structural health monitoring (SHM) such as wireless process, real-time calculation and low cost. However power consumption is considered as one of the most limitations in this field. The unique features offered by decentralized data aggregation (DDA) technique with the potential to overcome power consumption enable implementation of the dense array of WSSN on large structures. This paper presents a system identification of a simply supported plate based on the random decrement technique (RDT) and natural excitation technique (NExT) in combination with eigensystem realization algorithm (ERA) using Illinois Structural Health Monitoring Project (ISHMP) Services Toolsuite. Finally the system parameters including natural frequency and mode shapes are in accordance with numerical simulation showing efficacy and feasibility of decentralized NExT/ERA and RDT/ERA system identification.
KW - Decentralized data aggregation
KW - Eigensystem realization algorithm
KW - Natural excitation technique
KW - Random decrement technique
KW - Wireless smart sensors
UR - http://www.scopus.com/inward/record.url?scp=84869748937&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84869748937&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMM.204-208.4946
DO - 10.4028/www.scientific.net/AMM.204-208.4946
M3 - Conference contribution
AN - SCOPUS:84869748937
SN - 9783037854846
T3 - Applied Mechanics and Materials
SP - 4946
EP - 4951
BT - Progress in Industrial and Civil Engineering
ER -