
Particle Swarm Optimization with Passive Congregation
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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
27
1
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