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An on-line model update scheme is developed to adapt the Markov process changes to machine health dynamics quickly.
The functions used in the model update scheme allow the model to achieve an acceptable fit to the points and to converge to acceptable fitted fracture sizes.
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Specifically, the damage localisation has been tackled by using the "cleaned" modal properties within a continuous Finite Element model updating scheme.
In this study, a sensitivity-based finite element (FE) model updating scheme using a trust region algorithm is developed and implemented in a complex structure.
In this paper, the effect of prediction error correlation on the results of the Bayesian model updating scheme is studied, and it is investigated how the challenging task of selecting a suitable prediction error correlation structure can be addressed appropriately.
By applying the proposed model updating scheme to the damaged building, a damage detection scheme is proposed based on the identified stiffness parameters of structural members of both the original and damaged buildings.
According to the model matching condition, an update scheme is used in the adaptive control part to eliminate system errors caused by model mismatch.
Please note that the structure of the model and the defined mechanisms remain valid in case of a parallel update scheme: the model would only need the definition of a mechanism and strategy to manage conflicts to support this schema.
Finally, we present a tracking framework based on the proposed convex hull model and a simple online update scheme.
In this paper we present the application of the event-scheduling update scheme to realistically model the B cell life cycle, and empirically compare its simulation performance with the widely adopted uniform time-step update scheme.
Its efficacy relies only on the local low dimensionality of the underlying model dynamics, not on the equations themselves, and so provides a flexible state update scheme even as the models themselves are improved.
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