Rolling Bearing Degradation State Identification Based on LPP Optimized by GA
In view of the problem that the actual degradation status of rolling bearing has a poor distinguishing characteristic and strong fuzziness, a rolling bearing degradation state identification method based on multidomain feature fusion and dimension reduction of manifold learning combined with GG clus...
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Main Authors: | He Yu, Hong-ru Li, Zai-ke Tian, Wei-guo Wang |
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Format: | Article |
Language: | English |
Published: |
Wiley
2016-01-01
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Series: | International Journal of Rotating Machinery |
Online Access: | http://dx.doi.org/10.1155/2016/9281098 |
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