2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC) 2021
DOI: 10.1109/pemc48073.2021.9432611
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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 simulat… Show more

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“…Then, by comparing the measured signals that we get from sensors with the estimated ones, a residual signal is generated, and by performing statistical tests such as generalized likelihood ratio (GLR) or cumulative sum (CUSUM) on this signal, an anomaly is detected. This anomaly detection method has been applied to different applications like power systems [24]- [27], automated vehicles [28]- [30], industrial control systems [31]- [33], etc.…”
Section: Related Workmentioning
confidence: 99%
“…Then, by comparing the measured signals that we get from sensors with the estimated ones, a residual signal is generated, and by performing statistical tests such as generalized likelihood ratio (GLR) or cumulative sum (CUSUM) on this signal, an anomaly is detected. This anomaly detection method has been applied to different applications like power systems [24]- [27], automated vehicles [28]- [30], industrial control systems [31]- [33], etc.…”
Section: Related Workmentioning
confidence: 99%