Time Domain Bearing Diagnosis Using Kurtosis Based Filtering and Fuzzy Logic

Bogdan Betea; Liviu Tomesc

doi:10.4028/www.scientific.net/AMM.436.287

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 436Time Domain Bearing Diagnosis Using Kurtosis Based...

Time Domain Bearing Diagnosis Using Kurtosis Based Filtering and Fuzzy Logic

Abstract:

On this paper a bearing defects diagnosis method is introduced. This diagnosis method is based on time domain signal processing first step being the kurtosis based filtering. This filtering is based on the detection of the shock pulses generated by bearing defects. The diagnosis is done using the detected defects periods which are the inputs for a fuzzy classifier that provide defect alerts for each kind of bearing localize defect

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Periodical:

Applied Mechanics and Materials (Volume 436)

Pages:

287-294

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.436.287

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Online since:

October 2013

Authors:

Bogdan Betea*, Liviu Tomesc

Keywords:

Bearing Diagnosis, Fuzzy Classification, Kurtosis Filtering

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References

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