Journal article
A new strategy of characterizing hydrocarbon fuels using FTIR spectra and generalized linear model with grouped-Lasso regularization
Fuel (Guildford), Vol.287, p.1
03/01/2021
Handle:
https://hdl.handle.net/2376/122957
Appears in Aviation Sustainability Center (ASCENT)
Abstract
In previous studies, we have shown that gas-phase mid-infrared spectra can be used to estimate the properties of hydrocarbon fuels. Specifically, the spectrum around 3.4 μm and regularized linear models were utilized to estimate various physical and chemical properties of hydrocarbon fuels. In this study, we use a generalized linear model with grouped-Lasso regularization to characterize the average fuel structure in terms of the fractions of each functional group type and provide a new strategy to approach the property estimation problem. The robustness of this structure characterization method against low spectral resolution and high multiplicative noise in FTIR spectra are studied and presented. Two property estimation models, i.e. a linear and a nonlinear additive model, are presented as demonstrations of estimating properties from functional group numbers.
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Details
- Title
- A new strategy of characterizing hydrocarbon fuels using FTIR spectra and generalized linear model with grouped-Lasso regularization
- Creators
- Yu Wang - Stanford UniversityWei Wei - Washington State University, Department of Plant PathologyYue Zhang - Stanford UniversityRonald K Hanson - Stanford University
- Publication Details
- Fuel (Guildford), Vol.287, p.1
- Academic Unit
- Aviation Sustainability Center (ASCENT); Alternative Jet Fuel
- Publisher
- Elsevier Ltd
- Grants
- 13-C-AFJE-SU-017, Federal Aviation Administration (United States, Washington) - FAA
- Identifiers
- 99900621899501842
- Language
- English
- Resource Type
- Journal article