Volume 26 Issue 3
Mar.  2011
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WANG Guo-fu, ZHANG Hai-ru, ZHANG Fa-quan, YE Jin-cai. Incipient fault detection for aero-engine rotor based on frequency compression of stochastic resonance[J]. Journal of Aerospace Power, 2011, 26(3): 603-610.
Citation: WANG Guo-fu, ZHANG Hai-ru, ZHANG Fa-quan, YE Jin-cai. Incipient fault detection for aero-engine rotor based on frequency compression of stochastic resonance[J]. Journal of Aerospace Power, 2011, 26(3): 603-610.

Incipient fault detection for aero-engine rotor based on frequency compression of stochastic resonance

  • Received Date: 2010-06-13
  • Rev Recd Date: 2010-10-25
  • Publish Date: 2011-03-28
  • A frequency compression based on stochastic resonance (SR) for detecting incipient fault weak signal was presented because of the benefits of SR for detecting weak signals.The frequency limitation of SR was eliminated by introducing frequency compression.The incipient fault signal was detected from heavy noise under the condition of adiabatic approximation.Theoretical analysis and experiment results show that:to deal with the unknown incipient fault signals mixed with heavy noise,the mixed signal is compressed continuously to achieve a suitable frequency and then input to SR system.According to the change of resonance spectral peak value,the unknown incipient fault frequency can be obtained from heavy noise by inverse transform algorithm.Compared with traditional methods,the computing speed is increased by four magnitudes.The target signal is detected under -50dB.

     

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