Impedance-based structural health monitoring using neural networks for autonomous frequency range selection

Smart Materials and Structures

Volumn 19, Issue 12, 2010, Pages

  Min, Jiyoung ^a   Park, Seunghee ^b   Yun, Chung Bang ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b Sungkyunkwan University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; BUILDING STRUCTURE; CROSS-CORRELATION COEFFICIENT; DAMAGE ESTIMATION; DAMAGE INDEX; EXPERIMENTAL STUDIES; FALSE POSITIVE; FREQUENCY RANGES; MULTIPLE FREQUENCY; OPTIMAL FREQUENCY; PRE-SELECTED; REAL APPLICATIONS; REAL STRUCTURE; SENSITIVE FREQUENCIES; SINGLE OUTPUT; WIDE FREQUENCY BANDS; WIDE-BAND;

CHEMICAL DETECTION; CRACK DETECTION; FREQUENCY BANDS; FREQUENCY ESTIMATION; NEURAL NETWORKS; SIGNAL DETECTION; STRUCTURAL HEALTH MONITORING;

DAMAGE DETECTION;

EID: 78649925424     PISSN: 09641726     EISSN: 1361665X     Source Type: Journal    
DOI: 10.1088/0964-1726/19/12/125011     Document Type: Article

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