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 proceedingConference contributionAcademicpeer-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 languageEnglish
Title of host publication2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC)
PublisherIEEE
Pages899-905
Number of pages7
ISBN (Electronic)978-1-7281-5660-6
DOIs
Publication statusPublished - 25 Apr 2021
EventIEEE 19th International Power Electronics and Motion Control Conference, PEMC 2021 - On-line Conference
Duration: 25 Apr 202129 Apr 2021
Conference number: 19

Conference

ConferenceIEEE 19th International Power Electronics and Motion Control Conference, PEMC 2021
Abbreviated titlePEMC 2021
CityOn-line Conference
Period25/04/2129/04/21

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