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- W2188959368 abstract "The diagnosis method of rubbing fault in rotary machinery was investigated by support vector machine combined with wavelet transform. The rubbing fault of a rotary machine was simulated with a rubbing-block. The decomposed signals at every level were continuous for the case without rubbing fault, while the decomposed signals were bursting signals at level 1, level 2 and level 3, and continuous signals at level 4, level 5 for the case with rubbing fault. The correct rate of test samples was more than 92%, which indicated that the method can be used to identify rubbing faults effectively. The complexity of the SVM model was decreased and the calculation was simplified by using wavelet transform." @default.
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- W2188959368 date "2009-01-01" @default.
- W2188959368 modified "2023-09-27" @default.
- W2188959368 title "Rubbing Fault Diagnosis of Rotary Machinery Based on Wavelet and Support" @default.
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