Eigen-level data fusion model by integrating rough set and probabilistic neural network for structural damage detection

Advances in Structural Engineering

Volumn 14, Issue 2, 2011, Pages 333-349

  Jiang, Shao Fei ^a   Zhang, Chun Ming ^b   Yao, Juan ^c  

^a FUZHOU UNIVERSITY   (China)

^b NORTHEASTERN UNIVERSITY   (China)

^c SHENYANG JIANZHU UNIVERSITY   (China)

Author keywords

attribute reduction; damage identification; data fusion; probabilistic neural network; rough set

Indexed keywords

ATTRIBUTE REDUCTION; DAMAGE IDENTIFICATION; DATA AND INFORMATION; DATA FUSION TECHNIQUE; DATA STORAGE; DETECTION CAPABILITY; FEATURE PARAMETERS; FUSION MODEL; K-MEANS CLUSTERING TECHNIQUES; MEASUREMENT DATA; MEASUREMENT NOISE; MEMORY REQUIREMENTS; MODAL PARAMETERS; NOISE TOLERANCE; NUMERICAL EXAMPLE; PROBABILISTIC NEURAL NETWORKS; ROUGH SET; RUNTIMES; STRUCTURAL DAMAGE DETECTION; VIBRATION RESPONSE;

DATA FUSION; DATA HANDLING; IDENTIFICATION (CONTROL SYSTEMS); INFORMATION FUSION; MODAL ANALYSIS; NEURAL NETWORKS; NUMERICAL METHODS; ROUGH SET THEORY; STRUCTURAL ANALYSIS; UNCERTAINTY ANALYSIS;

DAMAGE DETECTION;

EID: 79956136204     PISSN: 13694332     EISSN: None     Source Type: Journal    
DOI: 10.1260/1369-4332.14.2.333     Document Type: Article

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