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Viscosity Measurement Monitoring by Means of Functional Approximation and Rule Based Techniques

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Soft Computing Models in Industrial and Environmental Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 188))

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Abstract

A diagnosis strategy using neural network based functional approximation models associated to a rule based technique is developed. The aim is to apply the diagnostic task on condition monitoring of viscometers used in liquids handling (liquid fuels and lubricating oils) tasks. Based on fluid online measured data, including pressures and temperature, the viscometers diagnosis is being carried out. Required signals are achieved by conversion of available or measured data (fluid temperature and API and SAE grades) into virtual data by means of neural network functional approximation techniques. Using rule based techniques on fault finding and isolation task, it is concluded that the viscometer monitoring task carried out by the analysis of the dynamic behaviour of both, the on line viscometer and virtual data subjected to the analysis of residuals into a parity space approach, is successfully feasible.

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Author information

Authors and Affiliations

  1. Department of Industrial Engineering, University of Coruña, C/Paseo Ronda 51, 15011, A Coruña, Spain

    Ramón Ferreiro-García & Manuel Romero Gómez

  2. Department of Industrial Engineering, University of Coruña, Avda. 19 de febrero, s/n, 15405, Ferrol, A Coruña, Spain

    José Luis Calvo-Rolle & F. Javier Pérez Castelo

Authors
  1. Ramón Ferreiro-García
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  2. José Luis Calvo-Rolle
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  3. F. Javier Pérez Castelo
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  4. Manuel Romero Gómez
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Corresponding author

Correspondence to Ramón Ferreiro-García .

Editor information

Editors and Affiliations

  1. VŠB-TU Ostrava, 17. listopadu 15, Ostrava, 70833, Czech Republic

    Václav Snášel

  2. (MIR Labs), Scientific Network for Innovation and, Machine Intelligence Research Labs, Auburn, 98071-2259, Washington, USA

    Ajith Abraham

  3. , Dept. de Informática y Automática, University of Salamanca, Plaza de la Merced, s/n, Salamanca, 37008, Spain

    Emilio S. Corchado

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Ferreiro-García, R., Calvo-Rolle, J.L., Castelo, F.J.P., Gómez, M.R. (2013). Viscosity Measurement Monitoring by Means of Functional Approximation and Rule Based Techniques. In: Snášel, V., Abraham, A., Corchado, E. (eds) Soft Computing Models in Industrial and Environmental Applications. Advances in Intelligent Systems and Computing, vol 188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32922-7_44

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  • DOI: https://doi.org/10.1007/978-3-642-32922-7_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32921-0

  • Online ISBN: 978-3-642-32922-7

  • eBook Packages: EngineeringEngineering (R0)

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