A rotary machine failure diagnosis method based on improved synchronous extrusion transformation

A technology of synchronous extrusion and rotating machinery, which is applied in the direction of machine/structural component testing, measuring devices, instruments, etc., and can solve the problems of lack of versatility, large amount of calculation, and low efficiency

Inactive Publication Date: 2018-11-09
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0007] Purpose of the invention: Aiming at the deficiencies in the above technologies, the present invention provides a rotating machinery fault diagnosis method based on the improved synchronous extrusion wavelet transform to solve the problem of large amount of calculation, poor fault feature information extraction effect, low efficiency, and lack of versatility And other issues

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  • A rotary machine failure diagnosis method based on improved synchronous extrusion transformation
  • A rotary machine failure diagnosis method based on improved synchronous extrusion transformation
  • A rotary machine failure diagnosis method based on improved synchronous extrusion transformation

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Embodiment Construction

[0029] The present invention will be further explained below in conjunction with the accompanying drawings.

[0030] figure 1 Shown is the basic flow chart of the present invention. The method mainly includes the following three steps:

[0031] The first part: preprocessing the collected original vibration signal, the specific process is as follows:

[0032] (1) Acquisition of vibration signals of rotating machinery with fault characteristics, such as figure 2 as shown in (a);

[0033] (2) According to Calculate the soft threshold, and design an adaptive filter, use the wavelet noise reduction method to filter out the noise components in the original signal, and extract the pure vibration signal, such as figure 2 as shown in (b);

[0034] The second part: calculate the center frequency curve and the optimal frequency range, combined with the synchronous squeeze wavelet transform, decompose the vibration signal and reconstruct each component signal, the specific proces...

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Abstract

The invention discloses a rotary machine failure diagnosis method based on improved synchronous extrusion transformation. The method includes the following steps: step 1: filtering analysis is performed on a collected vibration signal with rotary machine failure characteristics, strong background noise influence is eliminated, a pure vibration signal is extracted; step 2: an optimal frequency range of the failure characteristic signal is extracted by utilizing a wavelet analysis method, the optimal frequency range is utilized, a time frequency ridge characteristic and a signal time frequency component of the vibration signal are extracted according to a synchronous extruding transformation method, the vibration signal is reconstructed, an optimal signal component is selected by utilizing aspectrum peak value method, and Hilbert transformation is performed to extract a failure characteristic. The frequency of the failure characteristic can be accurately determined through the optimal frequency center and range by adopting the rotary machine failure characteristic efficient extraction method based on improved extrusion wavelet transformation.

Description

technical field [0001] The invention relates to a fault diagnosis method for a rotating machine, in particular to a fault diagnosis method for a rotating machine based on optimal frequency range selection and an improved synchronous extrusion transformation method. Background technique [0002] The fault diagnosis process of rotating mechanical equipment is divided into three parts: denoising of original vibration signal, extraction and reconstruction of vibration signal components, and extraction of fault feature information. [0003] Failure of rotating machinery components often has serious consequences. Through the analysis of the vibration signal, the fault state of the rotating machinery can be determined, but the vibration signal of the rotating machinery with faults in the working process is easily affected by the working environment, and the signal features are not easy to extract. In order to accurately capture early failure information and failure states, many sc...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M99/00
CPCG01M99/00
Inventor 辛玉李舜酩王金瑞程春
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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