Novel Fault Detection Approach and Its Application to Helicopter Actuators

A new fault detection approach was presented, in which a key coefficient group consisting of partial wavelet coefficients was used to describe fault features, a fuzzy-tree was taken as the model of fault feature classification. As an example,the method was applied to the real-time fault detection of the actuators of UH-60A helicopter. Simulation results showed that the proposed fault detection technique possesses satisfactory detecting accuracy, good capability of overcoming noises, and the function of trailing changes in system parameters. Furthermore, the detecting precision can be markedly improved by increasing the number of wavelet coefficients in the key coefficient group.