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Application of wavelets transform to fault detection in rotorcraft UAV sensor failure

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Abstract

This paper describes a novel wavelet-based approach to the detection of abrupt fault of Rotorcraft Unmanned Aerial Vehicle (RUAV) sensor 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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Author information

Authors and Affiliations

  1. Shenyang Institute of Automation, Chinese Academy of Sciences, 110016, Shenyang, P. R. China

    Jun-tong Qi & Jian-da Han

  2. Graduate School, Chinese Academy of Sciences, 100049, Beijing, P. R. China

    Jun-tong Qi

Authors
  1. Jun-tong Qi

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  2. Jian-da Han

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Correspondence toJun-tong Qi.

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