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.

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