FUZZY DIAGNOSIS MODULE BASED ON INTERVAL FUZZY LOGIC: OIL ANALYSIS APPLICATION

Antonio Sala, Bernardo Tormos, Vicente Macián, Emilio Royo

Abstract

This paper presents the basic characteristics of a prototype fuzzy expert system for condition monitoring applications, in particular, oil analysis in Diesel engines. The system allows for reasoning under absent or imprecise measurements, providing with an interval-valued diagnostic of the suspected severity of a particular fault. A set of so-called metarules complements the basic fault dictionary for fine tuning, allowing extra functionality.

References

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Paper Citation


in Harvard Style

Sala A., Tormos B., Macián V. and Royo E. (2005). FUZZY DIAGNOSIS MODULE BASED ON INTERVAL FUZZY LOGIC: OIL ANALYSIS APPLICATION . In Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 972-8865-29-5, pages 85-90. DOI: 10.5220/0001161200850090


in Bibtex Style

@conference{icinco05,
author={Antonio Sala and Bernardo Tormos and Vicente Macián and Emilio Royo},
title={FUZZY DIAGNOSIS MODULE BASED ON INTERVAL FUZZY LOGIC: OIL ANALYSIS APPLICATION},
booktitle={Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2005},
pages={85-90},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001161200850090},
isbn={972-8865-29-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - FUZZY DIAGNOSIS MODULE BASED ON INTERVAL FUZZY LOGIC: OIL ANALYSIS APPLICATION
SN - 972-8865-29-5
AU - Sala A.
AU - Tormos B.
AU - Macián V.
AU - Royo E.
PY - 2005
SP - 85
EP - 90
DO - 10.5220/0001161200850090