A Feature Extraction Method of Centrifugal Pump Broadband Radiation Noise Signal
A radiation noise and signal feature technology, which is applied in the field of centrifugal pump broadband radiation noise signal feature extraction, can solve problems such as poor anti-corrosion performance, complex wavelet function selection, and modal components without physical meaning, and achieve the goal of enhancing anti-corrosion performance Effect
Active Publication Date: 2022-03-18
SHANDONG JIANZHU UNIV
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Problems solved by technology
Compared with the short-time Fourier transform, the wavelet transform overcomes the limitation between time resolution and frequency resolution, and can be effectively applied to the decomposition and reconstruction of signals. However, there are many wavelet functions. The choice of is more complex, thus limiting the application of wavelet analysis
Empirical mode decomposition should effectively realize the decomposition between different components of the signal, but the modal components obtained by empirical mode decomposition have no actual physical meaning, so it is limited in the feature extraction process of centrifugal pumps
In addition, the three algorithms currently commonly used have poor anti-artificial performance, and the feature extraction effect is not obvious under the condition of low signal-to-noise ratio.
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[0039] In order to make the purpose, technical solution and advantages of the present invention clearer, the implementation manners of the present invention will be further described in detail below.
[0040] Aiming at the problems existing in the background technology, the present invention proposes a method for feature extraction of centrifugal pump broadband radiation noise signal. The defects of the empirical mode decomposition algorithm are detailed in the following description:
[0041] S01, noise signal preprocessing.
[0042] For the radiated noise signal of the centrifugal pump, the microphone is used for signal acquisition, and the time-domain signal of the radiated noise of the centrifugal pump (such as figure 2 shown), using the preprocessing algorithm based on the autoregressive model for noise reduction (such as image 3 shown), in MATLAB, its preprocessing algorithm statement is.
[0043] x_p = lpc(x,n);
[0044] est_x = filter([0 - x_p (2:end)],1,x);
[0...
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The invention discloses a method for extracting features of broadband radiation noise signals of centrifugal pumps. The method for extracting features of broadband radiation noise signals comprises the following steps: preprocessing of monitoring signals, division of equal frequency bands of signals, selection of feature frequency bands, construction of feature matrix, feature extraction , finally get the characteristics of centrifugal pump radiation noise signal. Applying the broadband radiation noise signal feature extraction method described in the present invention can obtain the key characteristics of the shaft frequency in the radiation noise of the centrifugal pump, and can characterize the stability of the internal flow field of the centrifugal pump, which is of great importance to the research on the flow-induced noise mechanism of the centrifugal pump. theoretical significance.
Description
technical field [0001] The invention belongs to the field of signal processing, in particular to a method for extracting the characteristics of broadband radiation noise signals of centrifugal pumps. Background technique [0002] Centrifugal pump is a typical water conservancy rotating machinery, which is widely used in daily life and industrial production. Especially with the rapid development of large-scale mechanical equipment, the safe and reliable operation of centrifugal pumps is an important guarantee for the normal operation of industrial production. Centrifugal pumps are prone to cavitation and cavitation during operation, which seriously affects the efficiency and safety of centrifugal pumps. On-line monitoring and fault diagnosis technology is an important guarantee for the safe and reliable operation of centrifugal pumps. The feature extraction of centrifugal pump monitoring signals is the key technology for online monitoring and fault diagnosis. [0003] In th...
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IPC IPC(8): F04D15/00
CPCF04D15/00F04D15/0088F05D2260/80F05D2260/81
Inventor 宋永兴刘竞婷吴大转
Owner SHANDONG JIANZHU UNIV