An intelligent approach to fault detection and identification

A new approach is proposed for improving the performance of an intelligent fault detection and identification scheme for dynamic systems. The methodology uses short time Fourier transform to analyze the frequency contents of the input signal in real time through a moving window. Measures of detectability and identifiability are defined for this algorithm. Finally experimental test and simulation results are used to demonstrate the efficiency of the proposed approach.

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