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Autor/inYeates, Devin Rodney
TitelThe Instrumental Model
Quelle(2011), (233 Seiten)
PDF als Volltext Verfügbarkeit 
Ph.D. Dissertation, University of California, Berkeley
Spracheenglisch
Dokumenttypgedruckt; online; Monographie
ISBN978-1-3033-7539-2
SchlagwörterHochschulschrift; Dissertation; Models; Data Analysis; Computation; Science Experiments; Spectroscopy; Laboratory Equipment; Laboratory Experiments; Science Laboratories
AbstractThe goal of this dissertation is to enable better predictive models by engaging raw experimental data through the Instrumental Model. The Instrumental Model captures the protocols and procedures of experimental data analysis. The approach is formalized by encoding the Instrumental Model in an XML record. Decoupling the raw experimental data from the data analysis procedure, the Instrumental Model provides means for rigorous uncertainty quantification of predictive model. The concept of the Instrumental Model and its data model, which governs how the data is described, is discussed in this work. The Instrumental Model XML record is linked to raw experimental data records and calibration data records, providing a complete description of the experimental data. The Instrumental Model approach is first demonstrated using a set of formaldehyde oxidation shock-tube experiments. In those experiments, the transmitted laser light intensity was measured by a photodiode and the produced voltages were recorded by a computer. The corresponding Instrumental Model transforms these raw data into CO concentration upon the user's request. The Instrumental Model is expanded by performing uncertainty quantification of model predictions using raw data from a more complex experiment--a stoichiometric C[subscript 2]H[subscript 2]/O[subscript 2]/Ar premixed laminar flame mapped with VUV-photoionization molecular-beam mass spectrometry. The experimental signals were modeled with a premixed laminar flame code augmented with an Instrumental Model, designed to link raw signals to derived properties. The consistency of the model and raw experimental data are quantified and predictions for weak-signal observations of O, OH, C[subscript 2]H[subscript 3] and unknown background H[subscript 2]O mole fractions are made. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.] (As Provided).
AnmerkungenProQuest LLC. 789 East Eisenhower Parkway, P.O. Box 1346, Ann Arbor, MI 48106. Tel: 800-521-0600; Web site: http://www.proquest.com/en-US/products/dissertations/individuals.shtml
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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