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�������պ����ѧѧ�� 2012, Vol. 38 Issue (6) :741-744,749    DOI:
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Rocket fault feature extraction based on time-frequency analysis
Cui Guilei, Tang Yonghua*
State Key Laboratory of Astronautic Dynamics, Xian 710043, China

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Abstract�� To obtain more valuable information from rocket flight test data as much as possible, a fault feature extraction model was proposed to the need of rocket vibration analysis. 3D Fourier spectrum was constucted to analyze the time-varying trend of entire observation signal efficiently. Standard and fast algorithm of Wigner-Ville distribution was studied to describe the frequency spectrum of interesting data segments accurately. The model and methods were illustrated on rocket telemetry data. The results prove the model-s direct-vision, high efficiency, and accuracy. It-s of great significance for designing a rocket with high reliability and performance to analyze the flight test data more deeply, based on time-frequency analysis methods.
Keywords�� rocket   telemetry data   fault location   time-frequency analysis   feature extraction     
Received 2011-03-10;
Fund:��װԤ����Ŀ(2009SY2603009)
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�޹���, ������.����ʱƵ���������ػ������������ȡ����[J]  �������պ����ѧѧ��, 2012,V38(6): 741-744,749
Cui Guilei, Tang Yonghua.Rocket fault feature extraction based on time-frequency analysis[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2012,V38(6): 741-744,749
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