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Authors: Antonio Sala 1 ; Bernardo Tormos 2 ; Vicente Macián 2 and Emilio Royo 2

Affiliations: 1 Univ. Politécnica de Valencia, Spain ; 2 CMT Motores Térmicos, Univ. Politécnica de Valencia, Spain

Keyword(s): fuzzy expert systems, fuzzy diagnosis, uncertain reasoning, interval fuzzy logic.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Enterprise Information Systems ; Expert Systems ; Health Information Systems ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Intelligent Fault Detection and Identification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Knowledge-Based Systems Applications ; Symbolic Systems

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.

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Paper citation in several formats:
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 4: ICINCO; ISBN 972-8865-29-5; ISSN 2184-2809, SciTePress, pages 85-90. DOI: 10.5220/0001161200850090

@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 4: ICINCO},
year={2005},
pages={85-90},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001161200850090},
isbn={972-8865-29-5},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO
TI - FUZZY DIAGNOSIS MODULE BASED ON INTERVAL FUZZY LOGIC: OIL ANALYSIS APPLICATION
SN - 972-8865-29-5
IS - 2184-2809
AU - Sala, A.
AU - Tormos, B.
AU - Macián, V.
AU - Royo, E.
PY - 2005
SP - 85
EP - 90
DO - 10.5220/0001161200850090
PB - SciTePress

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