Abstract:Vibration signals of a liquid rocket engine represent nonstationarity and strong noise, which brings difficulties in characteristic frequency component extraction. In order to solve the problem, a time-frequency analysis method called Second-order Multisynchrosqueezing Transform(SMSST)was proposed. The mathematical derivation of this method and the proof of its convergency was completed. Then a rotation frequency component extraction method based on adaptive band filtering and ridge extraction was presented. The SMSST was compared to traditional time-frequency analysis methods using generated signal. finally the SMSST-based rotation frequency component extraction method was applied with actual data in rotation speed identification and fault diagnosis . Result shows that the SMSST has better accuracy in time-frequency analysis compared with traditional methods. The method proposed provides an effective, reliable, redundant way to measure rotation speed. And the method is able to support fault early warning.
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