Signal filtering and denoising method and device and storage medium

Abstract

The invention provides a signal filtering and denoising method and device and a storage medium. The method comprises the steps of obtaining a centrifugal pump vibration signal from a centrifugal pumpthrough an acceleration sensor; carrying out signal improvement processing on the centrifugal pump vibration signal to obtain an improved signal; and carrying out decomposition processing on the improved signal to obtain an improved IMF intrinsic mode function. According to the method, modal aliasing is reduced, meanwhile, compared with an original EMD method, the modal aliasing phenomenon existing in the prior art is overcome, the influence of impulse noise is restrained, original information of the vibration signals is reserved to a greater extent, and better performance is achieved.

Description

technical field [0001] The present invention mainly relates to the field of signal analysis, in particular to a signal filtering and denoising method, device and storage medium. Background technique [0002] Empirical mode decomposition (EMD) is a signal analysis method with a wide range of applications, such as bearing fault detection, biomedical data analysis, power signal analysis, etc. Although the EMD method is widely used, there are still problems related to the method that need to be solved, such as mode aliasing, end effects and spline problems, etc. When EMD cannot successfully decompose a signal into unique frequency components, different intrinsic mode functions (IMFs) contain the same frequencies as overlapping components, which is known as the mode aliasing problem. Once the modal aliasing phenomenon occurs, it will affect the subsequent decomposition components. Eventually, the decomposition results of EMD lose their physical meaning, and the mode mixing prob...

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Problems solved by technology

Once the modal aliasing phenomenon occurs, it will affect the subsequent decomposition components

Eventually, the decomposition results of EMD lose their physical meaning, and the mode mixing problem is an important problem that cannot be avoided and needs to be properly solved in the EMD algorithm.

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