A new rolling bearing fault diagnosis method based on multiscale permutation entropy and improved support vector machine based binary tree
文摘
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Rolling bearing feature extraction from noise-contaminated sensor signals based on LMD and MPE.

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Design of a new hierarchical structures in the SVM-BT, which leads to the significant performance enhancement.

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Real-time pattern classification based on LS and ISVM-BT.

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