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

Antonio Sala, Bernardo Tormos, Vicente Macián, Emilio Royo

2005

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.

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