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Fault prognostic determines whether a failure is impending and estimates how soon an incident will occur; it is nowadays recognized as a key feature in maintenance strategies. For slowly time-varying autocorrelated fault process, the fault degradation process can be revealed for fault prognostic. Based on this assumption, a fault degradation modeling and online fault prognostic strategy is developed...
This paper investigates the interindividual variability of underlying glucose dynamics using multivariate statistical analysis methods for subjects with type 1 diabetes mellitus. Here two types of glucose dynamics are defined, the general dynamics and the output-relevant predictive dynamics. The concerned important issues are whether the underlying glucose dynamics change from subject to subject?...
Recently, the use of spectroscopic techniques for online process monitoring has been introduced, which are deemed to be able to provide a rich source of chemical information about operation conditions within a process system. This paper presents an improved statistical analysis and modeling strategy using spectra data for online fault detection and diagnosis of batch processes. The general principle...
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