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Degradation trend estimation of rolling bearing is widely applied in many engineering applications. With the rapid development of sensors, massive data will be acquired because of the monitoring of machinery. So how to extract and use the effective data from the big data for trend estimation has profound research value. The least square support vector machine (LSSVM), which is a kind of novel artificial...
In order to improve the separation performance of blind source separation, a sparse component analysis method based on support vector machine is proposed. Firstly, the sample points of the observed composite signals are selected by calculating the direction angle of the composite signal as standard to discard the interference points. And the selected sample points are trained using support vector...
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