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- W2353631147 abstract "An unsupervised classification method is proposed according to the fact that the signals of different bearing faults have different topological structures of manifolds.After embedding the time series into a high dimensional phase space to reconstruct a dynamical manifold,the topological structure containing the information of the manifold evolution is acquired by extracting the local geometric information of each point with its neighborhood data.The largest principal components of the overall manifold structure are calculated by performing multi-way principal component analysis to the topological structures matrices,and are input as features into C-means classifier,which output the classification results.Taking roller bearing vibration signals of normal state,outside-rolling and inside-rolling faults as samples,the experimental results show that the proposed method has better classification performance than the traditional method." @default.
- W2353631147 created "2016-06-24" @default.
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- W2353631147 date "2009-01-01" @default.
- W2353631147 modified "2023-09-28" @default.
- W2353631147 title "Classification Method of Bearing Faults Based on Topological Structure of Manifold" @default.
- W2353631147 hasPublicationYear "2009" @default.
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