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Volumn 17, Issue 7, 2010, Pages 795-807

Platform for structural health monitoring of buildings utilizing smart sensors and advanced diagnosis tools

Author keywords

data model; random decrement; smart sensor; structural health monitoring; system identification; wavelet

Indexed keywords

DATA MODELS; RANDOM DECREMENT; STRUCTURAL HEALTH; SYSTEM IDENTIFICATIONS; WAVELET;

EID: 78349232443     PISSN: 15452255     EISSN: 15452263     Source Type: Journal    
DOI: 10.1002/stc.399     Document Type: Article
Times cited : (17)

References (17)
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    • Structural damage identification using Parzen-window approach and neural networks
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    • Acceleration-based damage indicators for building structures using neural network emulators
    • Qian Y, Mita A,. Acceleration-based damage indicators for building structures using neural network emulators. Structural Control and Health Monitoring 2008; 15 (6): 901 - 920.
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    • Qian, Y.1    Mita, A.2
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    • Two-stage damage diagnosis based on the distance between ARMA models and pre-whitening filters
    • Zheng H, Mita A,. Two-stage damage diagnosis based on the distance between ARMA models and pre-whitening filters. Smart Materials and Structures 2007; 16 (2): 1829 - 1836.
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    • Damage indicator defined as distance between ARMA models for structural health monitoring
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    • San Antonio, TX
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.