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Authors: Ladislav Jirsa and Lenka Pavelková

Affiliation: Institute of Information Theory and Automation, Czech Republic

Keyword(s): Sensor Condition, Abrupt Change, Signal Variance, Modelling, Uniform Distribution.

Related Ontology Subjects/Areas/Topics: Business Analytics ; Change Detection ; Data Engineering ; Informatics in Control, Automation and Robotics ; Real-Time Systems Control ; Signal Processing, Sensors, Systems Modeling and Control ; System Modeling

Abstract: A modular framework for monitoring complex systems contains blocks that evaluate condition of single signals, typically of sensors. The signals are modelled and their values must be found within the prescribed bounds. However, an abrupt change of the signal increases the estimated parameters’ variance, which raises uncertainty of the sensor condition although it operates correctly. This increase affects the whole system in evaluation of condition uncertainty. The solution must be fast and simple, because of runtime application requirements. The signal is modelled by a static model with uniform noise, variance increase is tested and if detected, the model memory is cleared. The fast and efficient algorithm is demonstrated on industrial rolling data. The method prevents the parameters’ variance from the artificial increase.

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Paper citation in several formats:
Jirsa, L. and Pavelková, L. (2015). Estimation of Uniform Static Regression Model with Abruptly Varying Parameters. In Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-122-9; ISSN 2184-2809, SciTePress, pages 603-607. DOI: 10.5220/0005545706030607

@conference{icinco15,
author={Ladislav Jirsa. and Lenka Pavelková.},
title={Estimation of Uniform Static Regression Model with Abruptly Varying Parameters},
booktitle={Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2015},
pages={603-607},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005545706030607},
isbn={978-989-758-122-9},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Estimation of Uniform Static Regression Model with Abruptly Varying Parameters
SN - 978-989-758-122-9
IS - 2184-2809
AU - Jirsa, L.
AU - Pavelková, L.
PY - 2015
SP - 603
EP - 607
DO - 10.5220/0005545706030607
PB - SciTePress