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

被引:26
作者
Qi, Jun-tong [1 ,2 ]
Han, Jian-da [1 ]
机构
[1] Chinese Acad Sci, Shenyang Inst Automat, Shenyang 110016, Peoples R China
[2] Chinese Acad Sci, Grad Sch, Beijing 100049, Peoples R China
关键词
RUAV; wavelet transform; fault detection; sensor failure;
D O I
10.1016/S1672-6529(07)60040-7
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:265 / 270
页数:6
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