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Statistical models of reconstructed phase spaces for signal classification

โœ Scribed by Povinelli, R.J.; Johnson, M.T.; Lindgren, A.C.; Roberts, F.M.; Jinjin Ye,

Book ID
120187302
Publisher
IEEE
Year
2006
Tongue
English
Weight
544 KB
Volume
54
Category
Article
ISSN
1053-587X

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Rolling bearings are common and vital elements in rotating machinery and vibration signal is a kind of effective mean to characterize the status of rolling bearing fault and its severity. In this paper, a novel method is introduced to realize classification of fault signal without extracting feature