Abstract




 
   

IJE TRANSACTIONS C: Aspects Vol. 31, No. 12 (December 2018) 1951-1958   

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  ROLLING BEARING FAULT ANALYSIS BY INTERPOLATING WINDOWED DFT ALGORITHM
 
X. Li
 
( Received: July 08, 2018 – Accepted: October 26, 2018 )
 
 

Abstract    This paper focuses on the problem of fault characteristic frequency (FCF) estimation of rolling bearing.Teager-Kaiser energy operator (TKEO) demodulation has been applied widely to rolling bearing fault detection.FCF can be extracted from vibration signals,which is pre-treatment by using TEKO demodulation method. However, because of strong noise background of fault vibration signal, it is difficult to extract FCF with high precision.In this paper, the improved method of rolling bearing fault diagnosis is analyzed. Based on the envelope analysis by TKEO demodulation, it combines zero padding technique and the improved iterative windowed interpolation DFT (IIWIpDFT) algorithm to correct demodulated signal. Experiment result shows that under most circumstance, especially for short data length, the proposed algorithm displays higher accuracy to identify FCF, compared to the application of traditional TEKO demodulation method alone.

 

Keywords    Rolling bearing,Teager energy operator,Fault diagnosis,Interpolated DFT,Fault characteristic frequency

 




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