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 |
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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 | |
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 |
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Abbreviated title | PEMC 2021 |
City | On-line Conference |
Period | 25/04/21 → 29/04/21 |
Keywords
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