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A Wavelet-Based Approach to Rotorcraft UAV Sensor Failure Detection

J. T. Qi, Q. Y. Yu, H. Wang, J. D. Han


This paper describes a novel wavelet-based approach to the abrupt fault detection of rotorcraft unmanned aerial vehicle (RUAV) sensors system. By use of wavelet transforms that accurately localize the characteristics of a signal both in the time and frequency domains, the occurring instants of
abnormal status of a sensor in the output signal can be identified by the multi-scale representation of the signal. Once the instants are detected, the distribution differences of the signal energy on all decomposed wavelet scales of the signal before and after the instants are used to claim and classify the sensor faults.

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