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All Journal Jurnal Elektronika dan Telekomunikasi
Boudaoud, Mohammed
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Electrical & Electronics Engineering Engineering

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Advanced State Estimations for Gravitational Oil/Water Separator Tanks using a Kalman Filter and Multi-Model Hypothesis Testing Cahya, Zaid; Siregar, Parsaulian; Ekawati, Estiyanti; Bahiuddin, Irfan; Cahya, Dito Eka; Nugroho, Tsani Hendro; Taufiqurrohman, Heru; Boudaoud, Mohammed
Jurnal Elektronika dan Telekomunikasi Vol 25, No 1 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.682

Abstract

This paper presents a new application of the Kalman filter with Hypothesis testing for a fast and robust model-based estimator for measuring level interfaces of atmospheric gravitational oil-water separator tanks. A newly developed semi-empirical linearized model is applied in the estimator algorithm. A multi-model hypothesis-testing algorithm for covering more scenarios was deployed. The proposed method provides a cost-effective and straightforward solution for estimating all state variables in an oil-water separator. Our evaluation results demonstrate that the proposed algorithm achieves high accuracy with an observation error of less than 2% and a false alarm rate of 3.3% under 50-70% working conditions. Furthermore, the estimator can effectively handle process noise with a 10% feed offset. The proposed platform requires only a few installed sensors yet can accurately estimate unknown parameters. The proposed approach offers a robust and practical soft sensor solution for gravitational oil/water separators
Co-Authors Bahiuddin, Irfan Cahya, Dito Eka Cahya, Zaid Ekawati, Estiyanti Nugroho, Tsani Hendro Parsaulian Siregar Taufiqurrohman, Heru