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This paper deals with robust Fault Detection and Isolation (FDI) to measurement uncertainties using Hybrid Bond Graph (HBG) approach to improve the robustness of detection in presence of measurement uncertainties. The scientific interest of this work is use of one tool (Bond Graph) not only for modelling of hybrid system and measurement uncertainties but also for generation of robust fault indicators...
The capability to locate and characterize precursor wiring faults, such as chafing or pinching potentially enables preventive maintenance well before hard failures occur, thus maximizing system functionality and safety while minimizing out-of-service time. Toward this goal, results are presented on the application of a deterministic Bayesian inference procedure well suited for detecting chafing and...
This paper develops a filtering approach for distributed fault detection of a class of interconnected continuous-time nonlinear systems with modeling and measurement uncertainties. A distributed fault detection scheme and corresponding thresholds are designed based on filtering certain signals so that the effect of high frequency measurement uncertainty is diminished. The analysis of the proposed...
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