Testing of Sensor Condition Using Gaussian Mixture Model

Ladislav Jirsa, Lenka Pavelkova

2014

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.

Paper Citation

in Harvard Style

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 1: ICINCO, ISBN 978-989-758-039-0, pages 550-558. DOI: 10.5220/0005063605500558

in Bibtex Style

@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 1: ICINCO,},
year={2014},
pages={550-558},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005063605500558},
isbn={978-989-758-039-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Testing of Sensor Condition Using Gaussian Mixture Model
SN - 978-989-758-039-0
AU - Jirsa L.
AU - Pavelkova L.
PY - 2014
SP - 550
EP - 558
DO - 10.5220/0005063605500558