Rolling Bearing Fault Diagnosis Based on Blind Source Separation
2012 ◽
Vol 217-219
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pp. 2546-2549
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Keyword(s):
This document presents fault diagnosis method of rolling bearing based on blind source separation. The algorithm based on fast ICA is improved to separate fault signals according to the rolling bearing’s fault characteristics. Through the experiment it is shown that the algorithm can separate the signals collected from rolling bearing and gearbox effectively, which can provide a new method for fault diagnosis and signal processing of machinery equipment.
2014 ◽
Vol 27
(6)
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pp. 535-542
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Keyword(s):
2014 ◽
Vol 971-973
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pp. 1321-1324
2021 ◽
Vol 1792
(1)
◽
pp. 012035
Keyword(s):
2021 ◽
Vol 1820
(1)
◽
pp. 012105
Keyword(s):
Keyword(s):
2012 ◽
Vol 152-154
◽
pp. 1628-1633
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