Title:
Study-on-compound-fault-diagnosis
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- 2014-05-28
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Description: Aiming at the difficulty of separating the fault feature from compound rolling bearing fault signal，a new
fault diagnosis method is proposed based on dual-tree complex wavelet transform ( DT-CWT) and independent com-
ponent analysis ( ICA) ． Firstly，DT-CWT is used to decompose the non-stationary fault vibration signal into several
components with different frequency bands． Because frequency aliasing exists in the components，this problem dis-
turbs the feature extraction of the fault signal． Then，ICA is introduced to perform blind source separation on the
mixed signal consisting of various components to eliminate the frequency aliasing as far as possible． Finally，Hilbert
envelope decomposition is performed on the independent signal components separated from the mixed signal． Thus
the compound fault feature information can be separated，and the fault identification is achieved．
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