Sensors Incipient Fault Detection and Isolation using Kalman filter and Kullback-Leibler Divergence
IEEE Transactions on Nuclear Science(2019)
摘要
This paper presents a real-time statistical technique for sensors incipient fault detection and isolation (FDI). The proposed approach comprises fault detection index and fault signature formulation using Kalman filter under relaxed assumption on the monitored system stability. A fault decision statistics is generated by combining the Kullback-Leibler divergence of considered hypotheses with an ex...
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关键词
Fault detection,Kalman filters,Indexes,Sensor phenomena and characterization,Noise measurement,State estimation
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