Intelligence Bearing Fault Diagnosis Model Using Multiple Feature Extraction and Binary Particle Swarm Optimization With Extended Memory
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DOI: 10.1109/access.2020.3035081
Abstract: This article presents an effective bearing fault diagnosis model based on multiple extraction and selection techniques. In multiple feature extraction, the discrete wavelet transform, envelope analysis, and fast Fourier transform are considered. While the combined… read more here.
Keywords: extended memory; swarm optimization; particle swarm; binary particle ... See more keywords