Novel approach for simultaneous sediment classification and concentration determination of water turbidity

Daniel P. Duarte; Sergio Prats; J. J. Keizer; Petia Georgieva; Rogério Nogueira; Lúcia Bilro

doi:10.1117/12.2194578

28 September 2015 Novel approach for simultaneous sediment classification and concentration determination of water turbidity

Daniel P. Duarte, Sergio Prats, J. J. Keizer, Petia Georgieva, Rogério Nogueira, Lúcia Bilro

Author Affiliations +

Proceedings Volume 9634, 24th International Conference on Optical Fibre Sensors; 96342U (2015) https://doi.org/10.1117/12.2194578
Event: International Conference on Optical Fibre Sensors (OFS24), 2015, Curitiba, Brazil

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.

Citation Download Citation

Daniel P. Duarte, Sergio Prats, J. J. Keizer, Petia Georgieva, Rogério Nogueira, and Lúcia Bilro "Novel approach for simultaneous sediment classification and concentration determination of water turbidity", Proc. SPIE 9634, 24th International Conference on Optical Fibre Sensors, 96342U (28 September 2015); https://doi.org/10.1117/12.2194578

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