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Proceedings Paper

Novel approach for simultaneous sediment classification and concentration determination of water turbidity
Author(s): Daniel P. Duarte; Sergio Prats; J. J. Keizer; Petia Georgieva; Rogério Nogueira; Lúcia Bilro
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Paper Abstract

A new approach for data analysis and classification for datasets obtained by a multiparameter optical turbidity sensor is proposed. This approach is based on the combination of statistical or machine learning methods such as linear regressions and clustering analysis. A case study is presented using a 6 dimensional fiber optic sensor to simultaneously classify types of sediments and concentration. Results show a 79% of success for the used training data sets. The methodology proposed is flexible because can be easily adapted to other physical scenarios.

Paper Details

Date Published: 28 September 2015
PDF: 4 pages
Proc. SPIE 9634, 24th International Conference on Optical Fibre Sensors, 96342U (28 September 2015); doi: 10.1117/12.2194578
Show Author Affiliations
Daniel P. Duarte, Instituto de Telecomunicações (Portugal)
Sergio Prats, Univ. de Aveiro (Portugal)
J. J. Keizer, Univ. de Aveiro (Portugal)
Petia Georgieva, Univ. de Aveiro (Portugal)
Rogério Nogueira, Instituto de Telecomunicações (Portugal)
Lúcia Bilro, Instituto de Telecomunicações (Portugal)


Published in SPIE Proceedings Vol. 9634:
24th International Conference on Optical Fibre Sensors
Hypolito José Kalinowski; José Luís Fabris; Wojtek J. Bock, Editor(s)

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