A vibration source identification method and system based on time-frequency transformation characteristics
A technology of time-frequency transformation and identification method, which is applied in the direction of instruments, measuring devices, and utilization of wave/particle radiation, etc., can solve the problems of lack of vibration source identification methods, achieve accurate and timely response, and the identification process is fast and effective.
Active Publication Date: 2019-07-30
NORTH CHINA UNIVERSITY OF TECHNOLOGY
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[0004] The main problem in the existing research is the lack of suitable vibration source identification method, therefore, it is necessary to establish an effective vibration source identification method to realize the identification of vibration signals, so as to reduce the error rate of vibration source identification
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[0060] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0061] Embodiment 1 of the present invention provides a vibration source identification method based on time-frequency transformation characteristics. see figure 1 , the identification method specifically includes the following content:
[0062] Step 100: Obtain autocorrelation coefficient waveforms of vibration signals of the current vibration ...
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The present invention provides a method and system for vibration source identification based on time-frequency transformation characteristics. The method comprises: obtaining autocorrelation coefficient waveform of vibration signals of the current vibration source at a plurality of alarm points; performing wavelet decomposition of the autocorrelation coefficients according to the time-frequency transformation characteristics and calculating the energy proportion of the high-rise waveform obtained through decomposition; and taking multi-dimensional energy proportion feature vectors as features to be inputted to an MLFNN network for parameter training, and identifying the type of the current vibration source according to the result of the parameter training. The system comprises an autocorrelation coefficient waveform obtaining unit, an energy proportion determination unit and a vibration source identification unit. The method and system for vibration source identification based on the time-frequency transformation characteristics can accurately identify the vibration signals according to the time-frequency transformation characteristics, and is rapid and efficient in identification process to provide reliable vibration source determination basis for the control center so as to allow the control energy to make accurate and timely response according to the type of the vibration source.
Description
technical field [0001] The invention relates to the technical field of vibration source identification, in particular to a vibration source identification method and system based on time-frequency transformation characteristics. Background technique [0002] With the rapid development of the economy, the demand for oil and gas resources is increasing day by day. Pipeline transportation has become the main means of oil and gas resource transportation due to its advantages of economy, efficiency and environmental protection. The problem of pipeline safety protection is also increasingly prominent in front of people. Once the pipeline leaks, it is very easy to explode, which not only affects the normal transportation of energy, but also causes huge losses to the lives and properties of the country and the people. Therefore, early warning of pipeline safety is essential. [0003] On the basis of real-time monitoring of the pipeline protection area by using the optical fiber sen...
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IPC IPC(8): G01H9/00
CPCG01H9/004
Inventor 曲洪权苑世娇盛智勇杨丹郑彤
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY