A model for quantifying uncertainty in the estimation of noise-contaminated measurements of transmissibility

Mechanical Systems and Signal Processing

Volumn 28, Issue , 2012, Pages 470-481

  Mao, Zhu ^a   Todd, Michael ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Statistical modeling; Structural health monitoring; System identification; Transfer function; Transmissibility; Uncertainty quantification

Indexed keywords

BIVARIATE; ENVIRONMENTAL VARIABILITY; ESTIMATION ERRORS; FREQUENCY DOMAINS; FREQUENCY RESPONSE FUNCTIONS; MEASUREMENT NOISE; MODAL DECOMPOSITION; MONTE CARLO SIMULATION; NOISE CONDITIONS; PHYSICAL INTERPRETATION; REAL SYSTEMS; STATISTICAL MODELING; STRUCTURAL PARAMETER; SYSTEM IDENTIFICATIONS; TRANSMISSIBILITY; UNCERTAINTY AND VARIABILITY; UNCERTAINTY QUANTIFICATIONS;

ESTIMATION; FREQUENCY RESPONSE; MONTE CARLO METHODS; STRUCTURAL HEALTH MONITORING; TRANSFER FUNCTIONS;

UNCERTAINTY ANALYSIS;

EID: 84857373794     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2011.10.002     Document Type: Article

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