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Authors: Ladislav Jirsa and Lenka Pavelkova

Affiliation: Czech Academy of Sciences, Czech Republic

Keyword(s): Sensor Faults, Bayesian Statistics, Gaussian Mixture, Dynamic Weights.

Related Ontology Subjects/Areas/Topics: Informatics in Control, Automation and Robotics ; Nonlinear Signals and Systems ; Signal Processing, Sensors, Systems Modeling and Control ; System Identification ; System Modeling

Abstract: The paper describes a method of sensor condition testing based on processing of data measured by the sensor using a Gaussian mixture model with dynamic weights. The procedure is composed of two steps, off-line and on-line. In off-line stage, fault-free learning data are processed and described by a probabilistic mixture of regressive models (mixture components) including a transition table between active components. It is assumed that each component characterises one property of data dynamics and just one component is active in each time instant. In on-line stage, tested data are used for transition table estimation compared with the fault-free transition table. The crossing of given level of difference announces a possible fault.

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Paper citation in several formats:
Jirsa, L. and Pavelkova, L. (2014). Testing of Sensor Condition Using Gaussian Mixture Model. In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-039-0; ISSN 2184-2809, pages 550-558. DOI: 10.5220/0005063605500558

@conference{icinco14,
author={Ladislav Jirsa. and Lenka Pavelkova.},
title={Testing of Sensor Condition Using Gaussian Mixture Model},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2014},
pages={550-558},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005063605500558},
isbn={978-989-758-039-0},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Testing of Sensor Condition Using Gaussian Mixture Model
SN - 978-989-758-039-0
IS - 2184-2809
AU - Jirsa, L.
AU - Pavelkova, L.
PY - 2014
SP - 550
EP - 558
DO - 10.5220/0005063605500558

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