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This study concerns with fault diagnosis in rolling bearings using discrete wavelet transform (DWT), statistical parameters, independent component analysis (ICA) and support vector machine (SVM). The features for classification are extracted through using statistical parameters combined with energy obtained through the application of Db2-discrete wavelet transform at the fifth level of decomposition...
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