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Time series classification using Gaussian mixture models of reconstructed phase spaces

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


Book ID
120536740
Publisher
IEEE
Year
2004
Tongue
English
Weight
473 KB
Volume
16
Category
Article
ISSN
1041-4347

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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