Matches in SemOpenAlex for { <https://semopenalex.org/work/W1802646510> ?p ?o ?g. }
- W1802646510 abstract "Abstract This article presents probabilistic methodologies toward the design of a reliable structural health monitoring system, by addressing several types of uncertainties in sensor performance and data, including sensor layout effects and sensor data noise, incompleteness, and variability. The sensor layout is designed to maximize the reliability of damage detection by combining probabilistic finite element analysis, damage detection algorithms, and reliability‐based optimization techniques. A Bayesian discrete wavelet packet transform‐based denoising approach is presented to perform data cleansing prior to damage detection. A nonparametric system identification method is applied when using incomplete sensor data. A Bayesian method is presented to incorporate possible uncertainties in both sensor data and model prediction and to provide a quantitative measure of confidence in structural condition assessment. These methodologies are illustrated for application to an aerospace structure thermal protection system panel and to a five‐story building frame structure, representing two different disciplines." @default.
- W1802646510 created "2016-06-24" @default.
- W1802646510 creator A5049897079 @default.
- W1802646510 creator A5077441448 @default.
- W1802646510 creator A5089894989 @default.
- W1802646510 date "2008-01-26" @default.
- W1802646510 modified "2023-10-14" @default.
- W1802646510 title "Probabilistic Approaches to Sensor Layout Design, Data Processing, and Damage Detection" @default.
- W1802646510 cites W1580776750 @default.
- W1802646510 cites W1963823443 @default.
- W1802646510 cites W1966939403 @default.
- W1802646510 cites W1967349587 @default.
- W1802646510 cites W1970392706 @default.
- W1802646510 cites W1970459667 @default.
- W1802646510 cites W1972388228 @default.
- W1802646510 cites W1973263387 @default.
- W1802646510 cites W1977808362 @default.
- W1802646510 cites W1982769461 @default.
- W1802646510 cites W1988687752 @default.
- W1802646510 cites W1993081801 @default.
- W1802646510 cites W2007250360 @default.
- W1802646510 cites W2008148249 @default.
- W1802646510 cites W2009600269 @default.
- W1802646510 cites W2010835144 @default.
- W1802646510 cites W2011114765 @default.
- W1802646510 cites W2011421631 @default.
- W1802646510 cites W2020091852 @default.
- W1802646510 cites W2023872052 @default.
- W1802646510 cites W2026081515 @default.
- W1802646510 cites W2031895952 @default.
- W1802646510 cites W2036066171 @default.
- W1802646510 cites W2038030613 @default.
- W1802646510 cites W2039863742 @default.
- W1802646510 cites W2049627098 @default.
- W1802646510 cites W2053772077 @default.
- W1802646510 cites W2055649772 @default.
- W1802646510 cites W2059763340 @default.
- W1802646510 cites W2078265390 @default.
- W1802646510 cites W2085192143 @default.
- W1802646510 cites W2093953320 @default.
- W1802646510 cites W2097912000 @default.
- W1802646510 cites W2099200168 @default.
- W1802646510 cites W2100722180 @default.
- W1802646510 cites W2104556194 @default.
- W1802646510 cites W2106822551 @default.
- W1802646510 cites W2113076747 @default.
- W1802646510 cites W2131661809 @default.
- W1802646510 cites W2140957936 @default.
- W1802646510 cites W2145773091 @default.
- W1802646510 cites W2146462445 @default.
- W1802646510 cites W2160918136 @default.
- W1802646510 cites W4211177544 @default.
- W1802646510 cites W4251571283 @default.
- W1802646510 doi "https://doi.org/10.1002/9780470061626.shm072" @default.
- W1802646510 hasPublicationYear "2008" @default.
- W1802646510 type Work @default.
- W1802646510 sameAs 1802646510 @default.
- W1802646510 citedByCount "0" @default.
- W1802646510 crossrefType "other" @default.
- W1802646510 hasAuthorship W1802646510A5049897079 @default.
- W1802646510 hasAuthorship W1802646510A5077441448 @default.
- W1802646510 hasAuthorship W1802646510A5089894989 @default.
- W1802646510 hasConcept C107673813 @default.
- W1802646510 hasConcept C115961682 @default.
- W1802646510 hasConcept C121332964 @default.
- W1802646510 hasConcept C124101348 @default.
- W1802646510 hasConcept C127413603 @default.
- W1802646510 hasConcept C154945302 @default.
- W1802646510 hasConcept C163258240 @default.
- W1802646510 hasConcept C2776247918 @default.
- W1802646510 hasConcept C41008148 @default.
- W1802646510 hasConcept C43214815 @default.
- W1802646510 hasConcept C49937458 @default.
- W1802646510 hasConcept C62520636 @default.
- W1802646510 hasConcept C66938386 @default.
- W1802646510 hasConcept C99498987 @default.
- W1802646510 hasConceptScore W1802646510C107673813 @default.
- W1802646510 hasConceptScore W1802646510C115961682 @default.
- W1802646510 hasConceptScore W1802646510C121332964 @default.
- W1802646510 hasConceptScore W1802646510C124101348 @default.
- W1802646510 hasConceptScore W1802646510C127413603 @default.
- W1802646510 hasConceptScore W1802646510C154945302 @default.
- W1802646510 hasConceptScore W1802646510C163258240 @default.
- W1802646510 hasConceptScore W1802646510C2776247918 @default.
- W1802646510 hasConceptScore W1802646510C41008148 @default.
- W1802646510 hasConceptScore W1802646510C43214815 @default.
- W1802646510 hasConceptScore W1802646510C49937458 @default.
- W1802646510 hasConceptScore W1802646510C62520636 @default.
- W1802646510 hasConceptScore W1802646510C66938386 @default.
- W1802646510 hasConceptScore W1802646510C99498987 @default.
- W1802646510 hasLocation W18026465101 @default.
- W1802646510 hasOpenAccess W1802646510 @default.
- W1802646510 hasPrimaryLocation W18026465101 @default.
- W1802646510 hasRelatedWork W1967161913 @default.
- W1802646510 hasRelatedWork W2029467266 @default.
- W1802646510 hasRelatedWork W2063338624 @default.
- W1802646510 hasRelatedWork W2063508385 @default.
- W1802646510 hasRelatedWork W2085103596 @default.
- W1802646510 hasRelatedWork W2092456686 @default.
- W1802646510 hasRelatedWork W2349752869 @default.