Genetic algorithm-support vector regression for high reliability SHM system based on FBG sensor network

Optics and Lasers in Engineering

Volumn 50, Issue 2, 2012, Pages 148-153

  Zhang, Xiaoli ^a   Liang, Dakai ^a   Zeng, Jie ^a   Asundi, Anand ^b  

^a NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

FBG sensor network; Genetic algorithm; Reliability; Structural health monitoring; Support vector regression

Indexed keywords

AIRCRAFT WING; DAMAGE POSITION; ENGINEERING APPLICATIONS; EXTERNAL LOADING; FAILURE POINTS; FBG SENSOR; FBG SENSOR NETWORK; FIBER BRAGG GRATING SENSOR; FIBER SENSOR; HIGH RELIABILITY; MODEL RECONSTRUCTION; MODEL-BASED OPC; OPTIC FIBER SENSOR; RECOGNITION ALGORITHM; SENSOR SYSTEMS; STRUCTURAL HEALTH; SUPPORT VECTOR REGRESSIONS; SYSTEM-BASED;

ELECTRIC SENSING DEVICES; FAILURE MODES; FIBER BRAGG GRATINGS; FIBER OPTIC SENSORS; FIBERS; GENETIC ALGORITHMS; REGRESSION ANALYSIS; RELIABILITY; SENSOR NETWORKS; SOFT COMPUTING; STRUCTURAL HEALTH MONITORING; WINGS;

SENSORS;

EID: 80655124455     PISSN: 01438166     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.optlaseng.2011.09.015     Document Type: Article

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