Wavelet Packet Transform
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Feature extraction and optimized support vector machine for severity fault diagnosis in ball bearing
In this paper, a method for severity fault diagnosis of ball bearings is presented. The method is based on wavelet packet transform (WPT), statistical parameters, principal component analysis (PCA) and support vector machine (SVM). The key to bearing faults diagnosis is features extraction.
10p 
tohitohi
19-05-2020
25
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EURASIP Journal on Applied Signal Processing 2003:8, 806–813 c 2003 Hindawi Publishing Corporation Optimization and Assessment of Wavelet Packet Decompositions with Evolutionary Computation Thomas Schell Department of Scientific Computing, University of Salzburg, Jakob Haringer Street 2, A-5020 Salzburg, Austria Email: tschell@cosy.sbg.ac.at Andreas Uhl Department of Scientific Computing, University of Salzburg, Jakob Haringer Street 2, A-5020 Salzburg, Austria Email: uhl@cosy.sbg.ac.
8p sting12
10-03-2012
49
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