A Data-Driven Approach for Predictive Maintenance of Impellers in Flexible Impeller Pumps Using Prophet

Efe Demir, Sencer Sultanoğlu

2024

Abstract

This article presents a data-driven approach aimed at improving the efficiency of fabric dyeing operations in the textile industry. It specifically focuses on the predictive maintenance of flexible impeller pumps (FIP) and the application of the Prophet algorithm. The study extensively explores the potential of machine learning and data analytics to increase operational efficiency and enable early failure detection. By using the Facebook Prophet model and time series data for early detection of wear and tear, it offers an approach to maintain pump efficiency without installing new hardware, relying solely on data.

Paper Citation

in Harvard Style

Demir E. and Sultanoğlu S. (2024). A Data-Driven Approach for Predictive Maintenance of Impellers in Flexible Impeller Pumps Using Prophet. In Proceedings of the 13th International Conference on Data Science, Technology and Applications - Volume 1: DATA; ISBN 978-989-758-707-8, SciTePress, pages 245-252. DOI: 10.5220/0012710100003756

in Bibtex Style

@conference{data24,
author={Efe Demir and Sencer Sultanoğlu},
title={A Data-Driven Approach for Predictive Maintenance of Impellers in Flexible Impeller Pumps Using Prophet},
booktitle={Proceedings of the 13th International Conference on Data Science, Technology and Applications - Volume 1: DATA},
year={2024},
pages={245-252},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012710100003756},
isbn={978-989-758-707-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Data Science, Technology and Applications - Volume 1: DATA
TI - A Data-Driven Approach for Predictive Maintenance of Impellers in Flexible Impeller Pumps Using Prophet
SN - 978-989-758-707-8
AU - Demir E.
AU - Sultanoğlu S.
PY - 2024
SP - 245
EP - 252
DO - 10.5220/0012710100003756
PB - SciTePress