Decentralized NExT/ERA and RDT/ERA system identification in wireless smart sensor networks

Dingyu Cui; Kegui Xin; B. F. Spencer; Yufei Liu

doi:10.4028/www.scientific.net/AMM.204-208.4946

Decentralized NExT/ERA and RDT/ERA system identification in wireless smart sensor networks

Dingyu Cui, Kegui Xin, B. F. Spencer, Yufei Liu

Civil and Environmental Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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	https://doi.org/10.4028/www.scientific.net/AMM.204-208.4946
State	Published - 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

Keywords

Decentralized data aggregation
Eigensystem realization algorithm
Natural excitation technique
Random decrement technique
Wireless smart sensors

ASJC Scopus subject areas

Engineering(all)

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Cui, D, Xin, K, Spencer, BF & Liu, Y 2012, Decentralized NExT/ERA and RDT/ERA system identification in wireless smart sensor networks. in Progress in Industrial and Civil Engineering. Applied Mechanics and Materials, vol. 204-208, pp. 4946-4951, 2012 International Conference on Civil, Architectural and Hydraulic Engineering, ICCAHE 2012, Zhangjiajie, China, 8/10/12. https://doi.org/10.4028/www.scientific.net/AMM.204-208.4946

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title = "Decentralized NExT/ERA and RDT/ERA system identification in wireless smart sensor networks",

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.",

keywords = "Decentralized data aggregation, Eigensystem realization algorithm, Natural excitation technique, Random decrement technique, Wireless smart sensors",

author = "Dingyu Cui and Kegui Xin and Spencer, {B. F.} and Yufei Liu",

note = "Copyright: Copyright 2012 Elsevier B.V., All rights reserved.; 2012 International Conference on Civil, Architectural and Hydraulic Engineering, ICCAHE 2012 ; Conference date: 10-08-2012 Through 12-08-2012",

year = "2012",

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AU - Cui, Dingyu

AU - Xin, Kegui

AU - Spencer, B. F.

AU - Liu, Yufei

PY - 2012

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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.

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KW - Eigensystem realization algorithm

KW - Natural excitation technique

KW - Random decrement technique

KW - Wireless smart sensors

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