FUZZY MODELING OF MEASUREMENT DATA IN WATER QUALITY ASSESSMENT

C. Temneanu, O. Postolache, P. Girão, J. Pereira

Abstract

The paper discusses a possible solution for water quality assessment based on a virtual system and on intelligent processing structures. Referring to the intelligent processing, a practical approach concerning the fuzzy based solutions in data sensor correction is presented. Several types of fuzzy models are designed, tested and implemented in order to perform the on-line temperature correction of the acquired information from pH, turbidity and conductivity sensors. As the fuzzy architectures used are mentioned the Mamdani and TS by fuzzy clustering techniques. Elements related the virtual system hardware and LabVIEW * temperature fuzzy corrector" are also presented.

Keywords

fuzzy theory, data sensor correction, virtual instruments

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IMEKO-TC4-2002-190.pdf

DOI

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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