Development of virtual instrument in characteristic analysis of rotating machinery based on instantaneous frequency estimation

Yang, Jiongming

doi:10.3901/cjme.2004.04.490

CJME

2004

DOI: 10.3901/cjme.2004.04.490

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Development of virtual instrument in characteristic analysis of rotating machinery based on instantaneous frequency estimation

Jiongming Yang¹

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2013

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

Song

Song²,

Cheng

et al. 2013

AMR

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

Song

Song²,

Cheng

et al. 2013

AMR

View full text Add to dashboard Cite

show abstract

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Development of virtual instrument in characteristic analysis of rotating machinery based on instantaneous frequency estimation

Cited by 1 publication

References 0 publications

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

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

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