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A novel bridge structure damage diagnosis algorithm based on post‐nonlinear ICA and statistical pattern recognition
Author(s) -
Xiao Haitao,
Lou Sheng,
Ogai Harutoshi
Publication year - 2015
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.22085
Subject(s) - nonlinear system , fast fourier transform , structural health monitoring , computer science , normalization (sociology) , algorithm , bridge (graph theory) , pattern recognition (psychology) , data mining , independent component analysis , artificial intelligence , engineering , structural engineering , medicine , physics , quantum mechanics , sociology , anthropology
Monitoring the health of bridges and diagnosing the damage is vital for government and related institutions in Japan because of frequent earthquakes and the oceanic climate. This paper develops a bridge structure health monitoring system (BSHM), which includes data acquisition and analysis. A two‐stage structure damage detection algorithm based on post‐nonlinear independent component analysis (ICA) and statistical pattern recognition is proposed to analyze the acquired data and evaluate the health of bridges. First, an improved post‐nonlinear ICA algorithm is proposed for denoising, and a data‐sample matching based data normalization scheme to reduce the effect of varying environmental and operational condition. Thereafter, fast Fourier transform (FFT) is used to detect the damage. Based on the first stage, a statistical pattern recognition damage detection algorithm, including a new damage sensitive index D SPR , is proposed to determine the severity and location(s) of damage. In addition to the algorithm, this paper presents several simulations and experiments, including a detection experiment that applies artificial damage to a real bridge to show that our design choices are indeed effective. © 2015 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.