Acoustic Emission Monitoring of Mechanical Seals Using MUSIC Algorithm Based on Higher Order Statistics
2009 ◽
Vol 413-414
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pp. 811-816
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Keyword(s):
This paper presents the use of the MUSIC algorithm improved by higher order statistics (HOS) to extract key features from the noisy acoustic emission (AE) signals. The low signal-to-noise ratio of AE signals has been identified as a main barrier to the successful condition monitoring of pump mechanical seals. Since HOS methods can effectively eliminate Gaussian noise, it is possible in theory to identify a change in seal conditions from AE measurements even with low signal-to-noise ratios. Tests conducted on a test rig show that the developed algorithm can successfully detect the AE signal generated from the friction of seal faces under noisy conditions.
2021 ◽
Vol 20
(3)
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pp. 727-749
2019 ◽
Vol 33
(2)
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pp. 513-524
2006 ◽
Vol 54
(8)
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pp. 2986-2997
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2007 ◽
Vol 56
(6)
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pp. 2312-2321
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2018 ◽
Vol 41
(3)
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pp. 18-23
Keyword(s):
LOW SPEED ROLLING BEARING DIAGNOSTICS USING ACOUSTIC EMISSION AND HIGHER ORDER STATISTICS TECHNIQUES
2018 ◽
Vol 41
(3)
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pp. 18-32
Keyword(s):
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2016 ◽
Vol 75
(15)
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pp. 1321-1329
Keyword(s):
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