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Volume 42 Issue 2
Feb.  2016
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Journal of Beijing University of Aeronautics and Astronautics  > 2016  >  42(2): 243-250.
YUAN Mei, NIU Ben, DONG Shaopeng, et al. Pseudo-multi-source-sampling complex domain FastICA for impact location[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(2): 243-250. doi: 10.13700/j.bh.1001-5965.2015.0096(in Chinese)
Citation: YUAN Mei, NIU Ben, DONG Shaopeng, et al. Pseudo-multi-source-sampling complex domain FastICA for impact location[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(2): 243-250. doi: 10.13700/j.bh.1001-5965.2015.0096(in Chinese)
shu

Pseudo-multi-source-sampling complex domain FastICA for impact location

doi: 10.13700/j.bh.1001-5965.2015.0096
  • 1.

    School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

  • 2. Collaborative Innovation Center for Advanced Aero-Engine, Beijing 10008

  • 3. Aviation Science and Technology National Laboratory(Preparation), Beijing University of Aeronautics and Astronautics, Beijing 100083, China

  • Received Date: 13 Feb 2015
  • Publish Date: 20 Feb 2016
    Abstract
  • Using the sensor array to locate impact can help to detect damage and its potential threats for structure materials, and to ensure structural safety. Sensor array signals are preprocessed by blind source separation (BSS). A single-channel pseudo-multi-source-sampling method is proposed, and data sequences of one sensor in different periods are used as multi-source observation signals of this sensor. The signals of all sensor arrays are used as inputs of complex domain FastICA impact extraction algorithm. Shock signals with phase information are separated from each sensor. The coordinates of impact events on test plane are solved by using the threshold time delay localization method. theoretical analysis and numerical simulation verify the effectiveness of the combined impact location algorithm. Experiment on the impact location platform shows that designed algorithm can separate out the impact from the signals mixed with vibration. It is suggested that the algorithm improves the precision of time delay analysis for impact location in the sensor array. It also provides a practicable solution for the underdetermined blind source separation problem while the number of sensors is less than the sources.

     

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