@inproceedings{0543081d68c14962a82682c6e44be34b,
title = "Three Tank System Sensors and Actuators Faults Detection Employing Unscented Kalman Filter",
abstract = "Fault detection is critical for industrial applications to maintain a stable operation and to reduce maintenance costs. Many fault detection techniques have been introduced recently to cope with the increasing demand for more safe operations. One of the most promising fault detection algorithms is the Unscented Kalman Filter (UKF). UKF is a model-based algorithm that could be used to detect different fault types for a given system. On the other hand, the three-tank system is a well-known benchmark that simulates many industrial applications. The fault detection of the three-tank system is quite challenging as it is a Multi-Input Multi-Output (MIMO) nonlinear system. Therefore, UKF will be employed as a fault detection strategy for this system to detect sensor and actuator faults. The performance of the UKF will be investigated under different operating and fault conditions to show its merits for the given case study.",
keywords = "Fault detection, Three-tank system, Unscented Kalman Filter (UKF)",
author = "Sayed, {Waseem El} and Ahmed Aboelhassan and Ahmed Hebala and Giampaolo Buticchi and Michael Galea",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 19th IEEE International Power Electronics and Motion Control Conference, PEMC 2021 ; Conference date: 25-04-2021 Through 29-04-2021",
year = "2021",
month = apr,
day = "25",
doi = "10.1109/PEMC48073.2021.9432611",
language = "English",
series = "IEEE International Power Electronics and Motion Control Conference IPEMC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "899--905",
booktitle = "Proceedings - 2021 IEEE 19th International Power Electronics and Motion Control Conference, PEMC 2021",
address = "United States",
}