Wavelet Analysis based Stability Conditions of a Prediction Model

Ekaterina Sakrutina

2019

Abstract

Prediction models found a wide application in advanced control systems, intelligent systems of information decision support, play a significant role in any activity concerned with signal processing procedures, involving detecting failures of different technological processes. Methods based on the wavelet analysis are characterized by a unique ability of detailed frequency analysis in the time. The paper presents stability conditions of a prediction model, which are developed on the basis of the multi-scale wavelet transform, as well an example of the prediction model applied in the oil refining process.

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Paper Citation


in Harvard Style

Sakrutina E. (2019). Wavelet Analysis based Stability Conditions of a Prediction Model.In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-380-3, pages 707-714. DOI: 10.5220/0007923207070714


in Bibtex Style

@conference{icinco19,
author={Ekaterina Sakrutina},
title={Wavelet Analysis based Stability Conditions of a Prediction Model},
booktitle={Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2019},
pages={707-714},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007923207070714},
isbn={978-989-758-380-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Wavelet Analysis based Stability Conditions of a Prediction Model
SN - 978-989-758-380-3
AU - Sakrutina E.
PY - 2019
SP - 707
EP - 714
DO - 10.5220/0007923207070714