Three Tank System Sensors and Actuators Faults Detection Employing Unscented Kalman Filter

Waseem Wafik Saad Elsayed; Ahmed Aboelhassan; Ahmed  Habela; Giampaolo Buticchi; Michael Galea

doi:10.1109/pemc48073.2021.9432611

Three Tank System Sensors and Actuators Faults Detection Employing Unscented Kalman Filter

Waseem Wafik Saad Elsayed, Ahmed Aboelhassan, Ahmed Habela, Giampaolo Buticchi, Michael Galea

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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.

Original language	English
Title of host publication	2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC)
Publisher	IEEE
Pages	899-905
Number of pages	7
ISBN (Electronic)	978-1-7281-5660-6
DOIs	https://doi.org/10.1109/pemc48073.2021.9432611
Publication status	Published - 25 Apr 2021
Event	IEEE 19th International Power Electronics and Motion Control Conference, PEMC 2021 - On-line Conference Duration: 25 Apr 2021 → 29 Apr 2021 Conference number: 19

Conference

Conference	IEEE 19th International Power Electronics and Motion Control Conference, PEMC 2021
Abbreviated title	PEMC 2021
City	On-line Conference
Period	25/04/21 → 29/04/21

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10.1109/pemc48073.2021.9432611

Cite this

@inproceedings{da6f3fd952b24ae8b46d00ccda89fde3,

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.",

author = "{Wafik Saad Elsayed}, Waseem and Ahmed Aboelhassan and Ahmed Habela and Giampaolo Buticchi and Michael Galea",

note = "Funding Information: * This work is funded by the INNOVATIVE doctoral programme. The INNOVATIVE programme is partially funded by the Marie Curie Initial Training Networks (ITN) action (project number 665468) and partially by the Institute for Aerospace Technology (IAT) at the University of Nottingham, UK. Publisher Copyright: {\textcopyright} 2021 IEEE.; IEEE 19th International Power Electronics and Motion Control Conference, PEMC 2021, 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",

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Wafik Saad Elsayed, W, Aboelhassan, A, Habela, A, Buticchi, G & Galea, M 2021, Three Tank System Sensors and Actuators Faults Detection Employing Unscented Kalman Filter. in 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC)., 9432611, IEEE, pp. 899-905, IEEE 19th International Power Electronics and Motion Control Conference, PEMC 2021, On-line Conference, 25/04/21. https://doi.org/10.1109/pemc48073.2021.9432611

Three Tank System Sensors and Actuators Faults Detection Employing Unscented Kalman Filter. / Wafik Saad Elsayed, Waseem; Aboelhassan, Ahmed; Habela, Ahmed ; Buticchi, Giampaolo; Galea, Michael.

2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC). IEEE, 2021. p. 899-905 9432611.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - 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.

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Three Tank System Sensors and Actuators Faults Detection Employing Unscented Kalman Filter

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