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

作者: Giampaolo Buticchi , Michael Galea , Ahmed Hebala , Ahmed Aboelhassan , Waseem El Sayed

DOI: 10.1109/PEMC48073.2021.9432611

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摘要: Fault detection is critical for industrial applications to maintain a stable operation and reduce maintenance costs. Many fault techniques have been introduced recently cope with the increasing demand more safe operations. One of most promising algorithms Unscented Kalman Filter (UKF). UKF model-based algorithm that could be used detect different types given system. On other hand, three-tank system well-known benchmark simulates many applications. The quite challenging as it Multi-Input Multi-Output (MIMO) nonlinear Therefore, will employed strategy this sensor actuator faults. performance investigated under operating conditions show its merits case study.

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