Approach to Extraction of Incipient Fault Features on Unstable Rotating Rolling Bearings Based on Time-Frequency Order Tracking and SPWVD

Long Long Song; De Gang Song; Wei Dong Cheng; Wang Tai Yong; Kai Kai Su

doi:10.4028/www.scientific.net/AMR.819.266

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 819Approach to Extraction of Incipient Fault Features...

Approach to Extraction of Incipient Fault Features on Unstable Rotating Rolling Bearings Based on Time-Frequency Order Tracking and SPWVD

Abstract:

Frequency-smear phenomenon caused by fierce rotating speed variation made it difficult to extract the fault features of the rolling bearing. An approach based on time-frequency order tracking and SPWVD was proposed in this paper. The influence of speed variation was reduced by resampling the time-domain non-stationary signal at constant angle increments with order tracking analysis. The precision of instantaneous frequency estimation (IFE) in time-frequency order tracking was improved by the use of Smoothed Pseudo Wigner-Ville Distribution (SPWVD). The simulation signal and experiment on test-rig revealed that the proposed method was more effective than the traditional order tracking in clarifying incipient fault.

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Periodical:

Advanced Materials Research (Volume 819)

Pages:

266-270

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.819.266

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Online since:

September 2013

Authors:

Long Long Song, De Gang Song, Wei Dong Cheng, Wang Tai Yong, Kai Kai Su

Keywords:

Fault Diagnosis, Instantaneous Frequency Estimation, Rolling Bearing, SPWVD, Time-Frequency Order Tracking

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