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The envelope order spectrum is used for bearing fault identification.
Finally, the vibration features of gear faults can be clearly exposed by the envelope order spectra.
The resampled signal is demodulated, and the envelope order spectrum is calculated for bearing fault identification.
However, many interference components in the envelope order spectrum may lead to false diagnosis results, in addition, the deficiencies of computational accuracy and efficiency also cannot be neglected.
An envelope order tracking analysis scheme is proposed in the paper for the fault detection of rolling element bearing (REB) under varying-speed running condition.
Thereafter, intrinsic mode functions (IMFs) are generated through empirical mode decomposition (EMD) of resampled vibration signal which is followed by thresholding of IMFs and signal reconstruction to de-noise the signal and envelope order tracking to diagnose the faults.
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