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Author: Gustavo Arroyo Figueroa

Affiliation: Electrical Power Research Institute, Mexico

Keyword(s): Bayesian networks, temporal reasoning, uncertainty, diagnosis, thermal power plants.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Decision Support 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 ; Symbolic Systems

Abstract: Many real-world domains, such as industrial diagnosis, require an adequate representation that combines uncertainty and time. Research in this field involves the development of new knowledge representation and inference mechanisms to deal with uncertainty and time. Current temporal probabilistic models become too complex when used for real world applications. In this paper, we propose a model, Temporal Events Bayesian Networks (TEBN), based on a natural extension of a simple Bayesian network. TEBN tries to make a balance between expressiveness and computational efficiency. Based on a temporal node definition, causal-temporal dependencies are represented by qualitative and quantitative relations, using different time intervals within each variable (multiple granularity). Qualitative knowledge about temporal relations between variables is used to facilitate the acquisition of the quantitative parameters. The inference mechanism combines qualitative and quantitative reasoning. The propo sed approach is applied to a thermal power plant through a detailed case study, with promising results. (More)

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Paper citation in several formats:
Figueroa, G. (2004). QUALITATIVE AND QUANTITATIVE PROBABILISTIC TEMPORAL REASONING - for Industrial Applications. In Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 972-8865-12-0; ISSN 2184-2809, SciTePress, pages 151-156. DOI: 10.5220/0001133701510156

@conference{icinco04,
author={Gustavo Arroyo Figueroa.},
title={QUALITATIVE AND QUANTITATIVE PROBABILISTIC TEMPORAL REASONING - for Industrial Applications},
booktitle={Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2004},
pages={151-156},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001133701510156},
isbn={972-8865-12-0},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - QUALITATIVE AND QUANTITATIVE PROBABILISTIC TEMPORAL REASONING - for Industrial Applications
SN - 972-8865-12-0
IS - 2184-2809
AU - Figueroa, G.
PY - 2004
SP - 151
EP - 156
DO - 10.5220/0001133701510156
PB - SciTePress