Self-adaptive failure diagnosis method of rotary mechanical component based on continuous wavelet transformation

A technology of rotating machinery and wavelet transformation, which is applied in the direction of mechanical bearing testing, machine gear/transmission mechanism testing, etc., can solve the problem that the center frequency of the band-pass filter is difficult to determine, and achieve the effect of improving accuracy

Inactive Publication Date: 2012-07-04
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that the center frequency of the band-pass filter is difficult to determine in the existing high-frequency resonance demodulation technology, an

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  • Self-adaptive failure diagnosis method of rotary mechanical component based on continuous wavelet transformation
  • Self-adaptive failure diagnosis method of rotary mechanical component based on continuous wavelet transformation
  • Self-adaptive failure diagnosis method of rotary mechanical component based on continuous wavelet transformation

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Embodiment Construction

[0023] The present invention will be further described below in combination with specific embodiments and accompanying drawings.

[0024] Such as figure 1 As shown, the adaptive fault diagnosis method of rotating machinery parts based on continuous wavelet transform, such as figure 1 As shown, the steps include:

[0025] Step 1: Perform zero-mean preprocessing on the obtained discrete initial vibration signal s(n) to obtain a preprocessed signal s that eliminates the DC component 1 (n).

[0026] In this embodiment, the gear box is used as the object of fault diagnosis. The vibration signal of the gear box is collected by an acceleration sensor, and the collected vibration signal is obtained by using a signal conditioner and analog-to-digital conversion to obtain a discrete initial vibration signal s(n), and Send the signal to the computer for zero-mean preprocessing. The zero-mean preprocessing is to eliminate the influence of the DC component in the initial vibration signa...

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Abstract

The invention relates to a self-adaptive failure diagnosis method of a rotary mechanical component based on continuous wavelet transformation. The method comprises the following steps of: 1, performing zero-mean preprocessing on an acquired discrete initial vibration signal to obtain a preprocessed signal from which a direct-current component is eliminated; 2, performing continuous wavelet transformation on the preprocessed signal obtained in the step 1 to obtain a wavelet coefficient which corresponds to each scale parameter; 3, calculating the kurtosis of the wavelet coefficient which corresponds to each scale parameter in the step 2 respectively; 4, searching for a wavelet scale parameter which corresponds to large kurtosis in the wavelet scale parameter obtained in the step 3 with a self-adaptive algorithm to configure an optimal analysis signal; and 5, performing envelope demodulation on the optimal analysis signal obtained in the step 4 to obtain an envelope signal. The method has the beneficial effects that: the accuracy of failure diagnosis is increased, and the method is particularly suitable for failure diagnosis of mechanical parts with impact damages.

Description

technical field [0001] The invention relates to the technical field of mechanical fault diagnosis, in particular to the fault diagnosis technology for rotating mechanical parts (such as bearings or gears, etc.). Background technique [0002] When local faults (such as spalling, pitting, cracks, etc.) occur in rotating mechanical parts (such as rolling bearings), their vibration signals are usually accompanied by shocks. Resonance occurs to generate a high-frequency vibration signal. Therefore, through the analysis of the high-frequency vibration signal, the fault diagnosis of the bearing can be effectively carried out, and the interference of the low-frequency noise is also eliminated. For a long time in the past, high-frequency resonance demodulation technology (also known as envelope demodulation technology) has become an effective method for fault diagnosis of rotating machinery parts, which can accurately obtain the fault characteristic frequency of rotating machinery p...

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Application Information

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IPC IPC(8): G01M13/02G01M13/04
Inventor 苗强唐超谢磊梁巍
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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