End effect suppression method based on neural network ensemble and B-spline empirical mode decomposition (BS-EMD)
A neural network, endpoint effect technology, applied in the field of signal processing
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[0055] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.
[0056] An endpoint effect suppression method based on neural network integration and BS-EMD in the embodiment of the present invention is as follows: figure 1 shown, including the following steps:
[0057] Step s101, using a speed sensor to measure and acquire a vibration signal.
[0058] Step s102, performing left extension and right extension on the signal by neural network integration. Extending the signal using neural network ensembles involves the following steps:
[0059] (1) When there is only one layer of neural network, the data sequence extension using neural network is mainly divided into two steps: learning and extension. The purpose of the neural network l...
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