Denoising and feature extraction method and system for acoustic emission signals of rail cracks
An acoustic emission signal and feature extraction technology, which is applied in the processing of detection response signals, material analysis using sound waves/ultrasonic waves/infrasonic waves, instruments, etc.
Active Publication Date: 2017-04-26
SICHUAN SOUTHWEST JIAOTONG UNIV RAILWAY DEV
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However, in our system, before analyzing the known non-stationary signal, what we need is to effectively filter the signal, and the background noise completely overlaps the frequency domain of the rail acoustic emission signal, and this work is wavelet analysis incompetent
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[0048] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further elaborated below in conjunction with the accompanying drawings.
[0049] In embodiment one, see figure 1 As shown, the present invention proposes a rail crack acoustic emission signal denoising and feature extraction method,
[0050] A rail crack acoustic emission signal denoising and feature extraction method, comprising steps:
[0051] S100: The monitoring extension preprocesses the collected data to obtain a collection signal.
[0052] Wherein, the preprocessing method in step S100 adopts a signal centralized processing method;
[0053] The process includes the following steps:
[0054] (1) Find the mean value of the signal, and then subtract the mean value from the signal sequence;
[0055] (2) Find the standard deviation of the signal, and then divide the signal sequence by the standard deviation;
[0056] (3) The processed si...
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The invention discloses a denoising and feature extraction method for acoustic emission signals of rail cracks. The method comprises the following steps: carrying out pretreatment on collected data by a monitoring extension machine; estimating the independent source number of collected signals; raising dimensions of the collected signals to obtain sensing signals until the number of total sensing signals meets that of independent sources; analyzing and processing independent components of the sensing signals to obtain independent source signals; recovering amplitudes of the independent source signals through an adaptive matching method; classifying the recovered independent source signals through a singular value decomposition method and judging that whether each independent source signal has the acoustic emission signal; if the acoustic emission signal exists, solving numerical characteristics of the acoustic emission signal, and making different responses according to the numerical characteristics, and sending the responses to a monitoring center through a monitoring host. According to the invention, the independent components are analyzed to separate the acoustic emission signals and noise signals; the rail cracks are monitored more comprehensively and accurately reliably.
Description
technical field [0001] The invention belongs to the technical field of rail signal acquisition, in particular to a rail crack acoustic emission signal denoising and feature extraction method and system. Background technique [0002] The existing acquisition methods of rail crack acoustic emission signals mainly include working mode method and active guided wave method, but both methods have their own shortcomings. Among them, the working mode method: it is not sensitive to local damage, and cannot accurately and comprehensively monitor the acoustic emission signal of the rail crack; and the active guided wave method: there is a large blind area, and the monitoring is not comprehensive. [0003] In terms of signal processing, the current processing methods for rail crack acoustic emission signals mainly include filters or filter banks and wavelet analysis. [0004] The filter or filter bank is essentially a second-order statistical method, with low calculation accuracy and p...
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IPC IPC(8): G01N29/44
CPCG01N29/4454G01N2291/0234G01N2291/0289G01N2291/2623
Inventor 梁维海侯运华何获秦大勇
Owner SICHUAN SOUTHWEST JIAOTONG UNIV RAILWAY DEV