A rolling bear fault diagnose algorithm based on improved order envelope spectrum

HAO Gao-yan,LIU Yong-qiang,LIAO Ying-ying

Journal of Vibration and Shock ›› 2016, Vol. 35 ›› Issue (15) : 144-148.

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PDF(1784 KB)
Journal of Vibration and Shock ›› 2016, Vol. 35 ›› Issue (15) : 144-148.

A rolling bear fault diagnose algorithm based on improved order envelope spectrum

  • HAO Gao-yan,LIU Yong-qiang,LIAO Ying-ying
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Abstract

To extract the fault characteristics for rolling bearing element diagnosis in variable speed conditions,provided an improved order envelope spectrum algorithm based on the method using low pass filter to limit frequency and order. The envelope signal obtained from the original vibration signal is low pass filtered ,then determine the re-sampling frequency in COT(computed order tracking)and re-sample the filtered envelope signal.Finally the improved order envelope spectrum is obtained as the absolute value of the discrete Fourier transform of the re-sampled envelope signal.The results show that the improved algorithm provides a method for evaluating the re-sampling frequency,reduces the re-sampling frequency and avoids the order aliasing compared with the traditional order envelope spectrum algorithm.

Key words

non-stationary / order envelope spectrum / re-sampling / order aliasing

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HAO Gao-yan,LIU Yong-qiang,LIAO Ying-ying. A rolling bear fault diagnose algorithm based on improved order envelope spectrum[J]. Journal of Vibration and Shock, 2016, 35(15): 144-148

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