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Real-time Biomass Characterization in Energy Conversion Processes using Near Infrared Spectroscopy - A Machine Learning Approach

Authors:

Mobyen Uddin Ahmed, Peter Andersson , Tim Andersson , Elena Tomas Aparicio , Hampus Baaz , Shaibal Barua, Albert Bergström , Daniel Bengtsson , Jan Skvaril, Jesús Zambrano

Publication Type:

Conference/Workshop Paper

Venue:

10th International Conference on Applied Energy


Abstract

The aim of this work is to apply and evaluate different chemometric approaches employing several machine learning techniques in order to characterize the moisture content in biomass from data obtained by Near Infrared (NIR) spectroscopy. The approaches include three main parts: a) data pre-processing, b) wavelength selection and c) development of an actual regression model enabling moisture content measurement. Standard Normal Variate (SNV), Multiplicative Scatter Correction and Savitzky-Golay first (SG1) and second (SG2) derivatives and its combinations were applied for data pre-processing. Genetic algorithm (GA) and iterative PLS (iPLS) were used for wavelength selection. Moreover, Artificial Neural Network (ANN), Gaussian Process Regression (GPR), Support Vector Regression (SVR) and traditional Partial Least Squares (PLS) regression, were employed as machine learning regression methods. Results show that SNV combined with SG1 first derivative performs the best in data pre-processing. The GA is the most effective methods for variable selection and GPR is achieving a high accuracy in regression modeling while having low demands on computation time. Overall, the machine learning techniques demonstrate a great potential to be used in future NIR spectroscopy applications.

Bibtex

@inproceedings{Ahmed5187,
author = {Mobyen Uddin Ahmed and Peter Andersson and Tim Andersson and Elena Tomas Aparicio and Hampus Baaz and Shaibal Barua and Albert Bergstr{\"o}m and Daniel Bengtsson and Jan Skvaril and Jes{\'u}s Zambrano},
title = {Real-time Biomass Characterization in Energy Conversion Processes using Near Infrared Spectroscopy - A Machine Learning Approach},
month = {August},
year = {2018},
booktitle = {10th International Conference on Applied Energy},
url = {http://www.es.mdh.se/publications/5187-}
}