Structural damage detection and localization using NETSHM

被引:0
|
作者
Chintalapudi, Krishna [1 ]
Paek, Jeongyeup [1 ]
Gnawali, Omprakash [1 ]
Fu, Tat S. [1 ]
Dantu, Karthik [1 ]
Caffrey, John [1 ]
Govindan, Ramesh [1 ]
Johnson, Erik [1 ]
Masri, Sami [1 ]
机构
[1] Univ So Calif, Los Angeles, CA 90089 USA
关键词
wireless sensor networks; structural health monitoring;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Structural health monitoring (SHM) is an important application area for wireless sensor networks. SHM techniques attempt to autonomously detect and localize damage in large civil structures. Structural engineers often implement and test SHM algorithms in a higher level language such as C/Matlab. In this paper, we describe the design and evaluation of NETSHM, a sensor network system that allows structural engineers to program SHM applications in Matlab or C at a high level of abstraction. In particular, structural engineers do not have to understand the intricacies of wireless networking, or the details of sensor data acquisition. We have implemented a damage detection technique and a damage localization technique on a complete NETSHM prototype. Our experiments on small and medium-scale structures show that NETSHM is able to detect and localized damage perfectly with very few false-positives and no false negatives, and that it is robust even in realistic wireless environments.
引用
收藏
页码:475 / 482
页数:8
相关论文
共 50 条
  • [1] Structural Damage Detection and Localization Using Response Difference Transmissibility
    Wang Z.
    Ding L.
    Journal of Shanghai Jiaotong University (Science), 2024, 29 (6) : 1126 - 1138
  • [2] Structural damage detection and localization using a hybrid method and artificial intelligence techniques
    Hoshyar, Azadeh Noori
    Samali, Bijan
    Liyanapathirana, Ranjith
    Houshyar, Afsaneh Nouri
    Yu, Yang
    STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2020, 19 (05): : 1507 - 1523
  • [3] Structural damage detection and localization using decision tree ensemble and vibration data
    Mariniello, Giulio
    Pastore, Tommaso
    Menna, Costantino
    Festa, Paola
    Asprone, Domenico
    COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2021, 36 (09) : 1129 - 1149
  • [4] Structural damage localization using optimization method
    Luber, W
    PROCEEDINGS OF THE 15TH INTERNATIONAL MODAL ANALYSIS CONFERENCE - IMAC, VOLS I AND II, 1997, 3089 : 1088 - 1095
  • [5] Structural damage localization using optimization method
    Luber, WG
    NONDESTRUCTIVE EVALUATION OF AGING AIRCRAFT, AIRPORTS, AND AEROSPACE HARDWARE III, 1999, 3586 : 53 - 64
  • [6] Structural damage detection and localization using FRF-based model updating approach
    Zang, C
    Imregun, M
    DAMAGE ASSESSMENT OF STRUCTURES, PROCEEDINGS, 2003, 245-2 : 191 - 199
  • [7] Compressive sensing based structural damage detection and localization using theoretical and metaheuristic statistics
    Yao, Ruigen
    Pakzad, Shamim N.
    Venkitasubramaniam, Parvathinathan
    STRUCTURAL CONTROL & HEALTH MONITORING, 2017, 24 (04):
  • [8] Structural damage detection and localization via an unsupervised anomaly detection method
    Liu, Jie
    Li, Qilin
    Li, Ling
    An, Senjian
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2024, 252
  • [9] Structural damage detection using local damage factor
    Wang, Shanshan
    Ren, Qingwen
    Qiao, Pizhong
    JOURNAL OF VIBRATION AND CONTROL, 2006, 12 (09) : 955 - 973
  • [10] Whale Optimization Algorithm for structural damage detection, localization, and quantification
    Daniele Kauctz Monteiro
    Letícia Fleck Fadel Miguel
    Gustavo Zeni
    Tiago Becker
    Giovanni Souza de Andrade
    Rodrigo Rodrigues de Barros
    Discover Civil Engineering, 1 (1):