Complex analytic optimal wavelet demodulation method

A complex analysis and optimal technology, applied in the direction of machine gear/transmission mechanism testing, etc.

Inactive Publication Date: 2012-10-03
CHONGQING UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to provide a complex analysis optimal wavelet demodulation method, which can more optimize the modulation information extraction method, thereby overcoming the defects of the traditional technology, effectively solving the modulation information of comp

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  • Complex analytic optimal wavelet demodulation method
  • Complex analytic optimal wavelet demodulation method
  • Complex analytic optimal wavelet demodulation method

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Embodiment Construction

[0043] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0044] The hardware environment used for implementation is: AMD Athlon(tm) 2.60G computer, 2.00G memory, 128M graphics card, and the running software environment is: Labview 8.6 and Windows XP. We have implemented the method proposed by the present invention with Labview software. The analyzed signal comes from a faulty gear transmission on the test bench. We use the acceleration sensor installed on the surface of the box to measure the vibration signal of the gearbox when it is running in gear II with a sampling frequency of 30kHz. In order to remove the influence of high-order harmonics, the upper limit cut-off frequency of the analog filter is 3000Hz. Then the method proposed by the invention is used to analyze the vibration signal to diagnose its fault. The gear ratio of the running meshing gear is 41:37, the rotation speed of the shaft where the ...

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Abstract

The invention discloses a complex analytic optimal wavelet demodulation method which is characterized by comprising the following steps of: obtaining a vibration signal spectrogram, and capturing an effective frequency band centralized region; setting a shape factor sigma of a Morlet wavelet and an initial value of the initial frequency omega 0, thereby obtaining the wavelet factor Cs(b, a); obtaining continuous wavelet amplitude value spectrum information measure SH; improving the wavelet kurtosis; calculating the smooth index; calculating the optimal wavelet envelope spectrum; and detailing a modulation spectrum, and locating the fault of a detected target. According to the invention, not only are analysis wavelet parameters optimized and selected, but also the conventional wavelet kurtosis calculation method is improved, and the accuracy of screening the wavelet coefficients is improved; meanwhile, in order to solve the problem that the wavelet coefficient features decomposed by fault signals at the early stage are not obvious, the smooth index is additionally set, which plays better positioning and screening effects on the wavelet coefficients for the fault frequency band. The method not only can disclose weak fault features in complex signals in the multi-component signals accurately and effectively, and has high practical value.

Description

technical field [0001] The present invention relates to the field of mechanical engineering signal processing, especially the fault feature extraction method of vibration signals of rotating machinery. Mechanical fault location and fault degree analysis. Background technique [0002] During the operation of the mechanical transmission mechanism, if there is local damage to the transmission parts, such as a gearbox, if a certain gear is partially damaged, intermittent shock excitation will be generated, so that the vibration signal measured on the entire mechanical equipment contains rapid attenuation pulse component. [0003] This kind of pulse signal usually appears at certain periodic intervals in the time domain, and in the frequency spectrum of the signal containing this kind of shock, there will often be modulated side frequencies centered on the meshing frequency or natural frequency and evenly spaced on both sides. The degree and location of damage to parts can be j...

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Application Information

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IPC IPC(8): G01M13/02
Inventor 刘小峰柏林张开飞赵玲
Owner CHONGQING UNIV
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