Time Domain Bearing Diagnosis Using Kurtosis Based Filtering and Fuzzy Logic
2013 ◽
Vol 436
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pp. 287-294
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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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2003 ◽
pp. 155-194
1982 ◽
Vol 20
(3)
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pp. 13-22
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2007 ◽
Vol 31
(6)
◽
pp. 381-392
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