Vibration signal compressing and sampling method

A technology of vibration signal and compressed sampling, which is applied in the field of signal processing, to achieve the effects of improving work efficiency and detection accuracy, good sparse restoration, and improving dictionary learning speed

Inactive Publication Date: 2015-09-23
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

[0003] The purpose of the present invention is to provide a vibration signal compression sampling method, which can effectively solve the problems of self-adapta

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  • Vibration signal compressing and sampling method
  • Vibration signal compressing and sampling method

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Embodiment Construction

[0029] In order to understand the characteristics and technical content of the present invention in more detail, the implementation of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0030] (1) For the continuous bearing original vibration signal X c Sampling, sampling to obtain a priori signal, denoted as X p , expressed in vector form as: Xp=(x p1 ,x p2 ,...,x pN ), where the sampling interval is T=1s, and the number of sampling points is N=80. Collect 200 signal segments as a training sample set. denoted as X M , Where M=200, N=80

[0031] (2) put X M Applied to the training of sparse transform dictionaries. Initialize the sparse transformation dictionary D s is a discrete cosine transformation dictionary (DCT), and the sparse transformation dictionary is an 80×80 matrix. Determine the number of dictionary training times K=20 and penalty item coefficient λ=0.01, obtain by Orthogonal Matching Pursuit Algori...

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Abstract

The invention discloses a vibration signal compressing and sampling method, and belongs to the technical field of processing for mechanical vibration signals. The vibration signal compressing and sampling method can effectively solve the problem of an adaptive ability and an online learning ability. The vibration signal compressing and sampling method comprises the steps of first carrying out Nyquist sampling on continuous vibration signals Xc so as to acquire a prior signal Xp of the vibration signals; constructing a sparse transformation matrix Ds of the prior signal Xp by using an online dictionary learning algorithm; then carrying out sparse transformation on the continuous vibration signals Xc so as to acquire a sparse vector Xs, transmitting the sparse vector Xs to a perception matrix so as to carry out perception sampling to acquire a compressed signal Y; and finally, transmitting the compressed vibration signal Y to a reconstruction recovery terminal, carrying out signal reconstruction, and acquiring a vibration signal Xc with a transverse line thereon. The method disclosed by the invention is mainly applied to long-distance transmission of vibration signals.

Description

technical field [0001] The invention belongs to the technical field of signal processing, in particular to the processing technology of mechanical vibration signals. Background technique [0002] With the development of computer technology, the real-time monitoring of mechanical equipment is developing in the direction of remote and big data. Due to the increase in the amount of collected data, this has brought certain difficulties to the remote transmission of data. The traditional data sampling method is based on the Nyquist sampling theorem, the sampling frequency must be greater than or equal to twice the frequency of the sampling signal, and the sampling signal can be completely restored. Compressed sensing theory is a new theoretical framework for signal description and processing. It compresses and samples unknown signals and successfully breaks through the bandwidth limit of Shannon's law when sampling. The first step of compressed sensing data acquisition is to co...

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Application Information

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IPC IPC(8): H03M7/30
Inventor 郭亮高宏力张一文黄海凤李世超文娟张杰
Owner SOUTHWEST JIAOTONG UNIV
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