id: 06063200
dt: j
an: 06063200
au: Demetriou, Michael A.; Armaou, Antonios
ti: Dynamic online nonlinear robust detection and accommodation of incipient
    component faults for nonlinear dissipative distributed processes.
so: Int. J. Robust Nonlinear Control 22, No. 1, 3-23 (2012).
py: 2012
pu: John Wiley \& Sons Ltd., Chichester
la: EN
cc: 
ut: transport processes; fault tolerant control; fault accommodation;
    distributed parameter systems
ci: 
li: doi:10.1002/rnc.1796
ab: Summary: We propose a new nonlinear detection observer for the detection of
    component faults and their subsequent accommodation for a class of
    nonlinear distributed processes. Specifically, the proposed results
    constitute a significant extension to previous precursory work that
    utilized a linear observer for both detection and diagnosis of
    component faults for the same class of nonlinear distributed processes.
    An added feature of the proposed nonlinear observer under consideration
    is not simply the inclusion of nonlinear dynamics terms in the
    detection and diagnostic observers but the inclusion of such additional
    information in the expression for the dynamic residual threshold. The
    resulting improved version of a dynamic threshold contributes to the
    robustness of the detection scheme and minimizes the fault detection
    time. Two different dynamic threshold approaches are employed within
    the same nonlinear detection observer leading to improved detection
    time. A combination of the two thresholds is also considered to arrive
    at a detection observer that reaps the beneficial attributes of each of
    the thresholds, thus resulting in significant reduction of the fault
    detection time. Finally, an adaptive diagnostic observer is proposed
    that is subsequently utilized in an automated control reconfiguration
    scheme that accommodates the component faults.
rv: