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Rotating machinery fault diagnosis method based on multi-waveletorder ratio bispectrum analysis

A technology of bispectral analysis and rotating machinery, which is applied to computer components, instruments, characters and pattern recognition, etc., can solve problems such as difficulty in extracting fault information and low accuracy of fault diagnosis, and achieve wide applicability, good practical value, The effect of reducing the dependence of the installation space

Inactive Publication Date: 2018-01-09
江苏新道格自控科技有限公司
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Problems solved by technology

[0003] The purpose of the present invention is to provide a rotating machinery fault diagnosis method based on multi-wavelet order ratio bispectral analysis, to solve the technical problems of difficult fault information extraction and low fault diagnosis accuracy in the prior art

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  • Rotating machinery fault diagnosis method based on multi-waveletorder ratio bispectrum analysis
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  • Rotating machinery fault diagnosis method based on multi-waveletorder ratio bispectrum analysis

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Embodiment Construction

[0058] The invention provides a fault diagnosis method for rotating equipment. Such as figure 1 As shown, this method uses the combination of multiwavelet and order spectrum analysis to preprocess the vibration signal generated when the gear rotates in the frequency domain, and then establishes a connection method for dynamic analysis time segments to find a method that satisfies the entire analysis time. The signal component with the greater total energy of all connected primitive function signals is resampled in the angular domain, and finally the fault of the rotating equipment is judged by performing order spectrum analysis on the resampled signal.

[0059] Such as figure 2 As shown, the fault diagnosis method of rotating machinery based on multi-wavelet order ratio bispectral analysis mainly includes the following steps:

[0060] Step 1: Perform multi-wavelet transform by inputting the original signal into the tower algorithm, the specific method is as follows:

[006...

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Abstract

The invention discloses a rotating machinery fault diagnosis method based on multi-waveletorder ratio bispectrum analysis, comprising: step 1, inputting original signals to a pyramid algorithm formulti-wavelet transformation; step 2, according to a signal analysis theory, seeking an element function combination maximizing decomposed signal energy; step 3, maximizing the total energy of all elementfunction signals via a connection algorithm, and then solving rotating speed signals; step 4, performing equal-angle re-sampling on the rotating speed signals, and performing bispectrum analysis of the re-sampled signals to obtain order ratio spectra of vibrating signals; and step 5, analyzing the order ratio spectra of the vibrating signals, and performing fault diagnosis of rotating machinery based on the vibrating signals. The method improves the accuracy of fault diagnosis, does not need to install such hardware as an angle coding disc, a tracking filter, a rotating speed meter and the like, and reduces the dependency of the system on the installation space and the complexity of the system.

Description

technical field [0001] The invention relates to a fault diagnosis method for rotating machinery based on multi-wavelet order ratio bispectrum analysis. Background technique [0002] Gears and rolling bearings are the core components of rotating machinery, but due to their fragility, most of the mechanical failures are caused by them. When gears and bearings fail, due to the influence of noise and modulation, the vibration signal will show non-Gaussian and skew, so the traditional Fourier transform cannot be used, otherwise there will be serious "frequency ambiguity". Therefore, How to diagnose the faults of rotating equipment from vibration signals is an inevitable problem in the monitoring process of rotating equipment. Contents of the invention [0003] The purpose of the present invention is to provide a rotating machinery fault diagnosis method based on multi-wavelet order ratio bispectrum analysis, which solves the technical problems of difficult fault information ex...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 承敏钢魏懿何晓琳杨菲江冰蔡昌春杜浩滔
Owner 江苏新道格自控科技有限公司
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