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In response to the roller bearing fault of the engineering vehicle, the excellent characteristics of time-frequency of wavelet packet is used to decompose the fault signal. Then we extract the necessary of the fault signals. Finally, we carry out the recognition of fault types using multi-class support vector machine and dynamic clustering algorithm brought forward in the paper. It is such a algorithm...
In order to select the most predictive features from network sample data for fault diagnosis, a novel adaptive immune clonal selection algorithm (AICSA) is proposed. By simulating the mechanisms of biological immune system such as immune memory, clone selection and self-adaptation, AICSA achieves the dynamic control of evolution process, which realizes global optimal computing combined with the local...
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