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- W2375835671 abstract "An approach is presented to roubstly detect fault of nonlinear systems with uncertainty of modelling errors,noise and disturbance.This approach is based on first using radial basis function networks to process signal and filter noise,and propagating the uncertainties'effect of interval models with parameters expressed by intervals into residuals;then comparing the models with measurements obtained from a monitored process and using the principle of adaptive thresholds to achieve robustness.Finally an example of a convection heating surface of a 300MW power station boiler is discussed.Simulation results have demonstrated that this method is effective and efficient for online fault detection due to its sensitivity to early fault detection and robustness of modeling error and noise." @default.
- W2375835671 created "2016-06-24" @default.
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- W2375835671 date "2007-01-01" @default.
- W2375835671 modified "2023-09-25" @default.
- W2375835671 title "A New Approach to Robust Fault Detection of Nonlinear Dynamic Systems" @default.
- W2375835671 hasPublicationYear "2007" @default.
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