A distributed fault detection filtering approach for a class of interconnected continuous-time nonlinear systems

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 distributed fault detection scheme shows that the derived thresholds guarantee that there are no false alarms and characterizes quantitatively the class of detectable faults.