2009 IEEE Intrumentation and Measurement Technology Conference 2009
DOI: 10.1109/imtc.2009.5168551
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Diagnosis of sensor failure detection and information rebuilding using Polynomial Chaos Theory

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Cited by 2 publications
(2 citation statements)
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“…In this work, by leveraging on the characteristics of PCT (detailed in [16]) to propagate uncertainty power system, it enables, in principle, the propagation of power system uncertainties in real time, given a known probability PDF of the main uncertainty sources. This feature, which has been shown to be a way to determine the boundaries of the dynamic behavior of the system [19], can be used to generate the thresholds for validating sensor behavior in the work here. It should be underlined that the proposed algorithm could still fail if the system changes so dramatically that the model becomes unreliable.…”
Section: Sensor Failure Detection and Information Rebuildingmentioning
confidence: 99%
See 1 more Smart Citation
“…In this work, by leveraging on the characteristics of PCT (detailed in [16]) to propagate uncertainty power system, it enables, in principle, the propagation of power system uncertainties in real time, given a known probability PDF of the main uncertainty sources. This feature, which has been shown to be a way to determine the boundaries of the dynamic behavior of the system [19], can be used to generate the thresholds for validating sensor behavior in the work here. It should be underlined that the proposed algorithm could still fail if the system changes so dramatically that the model becomes unreliable.…”
Section: Sensor Failure Detection and Information Rebuildingmentioning
confidence: 99%
“…The excitation current flows through diode VD1 and VD2, then charges the capacitor C. This leads to a larger excitation current decline to accelerate the process of the output voltage drop. The process can be described by Equation (19).…”
Section: Excitation Circuit Designmentioning
confidence: 99%