A rotary machine fault feature extraction method based on vibration signal correlation analysis

Abstract

The rotary machinery fault feature extraction method based on vibration signal correlation analysis comprises the following steps: firstly, acquiring a vibration signal on rotary machinery equipment,and selecting a section of reference sub-signal from the vibration signal; enabling the reference sub-signal to perform point-by-point translation along the time axis direction from the initial time of the vibration signal, continuously shielding a section of sub-signal from the vibration signal, and calculating a correlation coefficient between the reference sub-signal and the shielding sub-signal at the same time; obtaining a correlation coefficient sequence after translation is finished; and finally extracting the fault characteristic frequency from the frequency spectrum of the correlationcoefficient sequence. The method is simple and easy to implement, the correlation coefficient sequence is adaptive to the characteristics of the original vibration signal in the obtaining process, the change rule of the fault characteristics of the rotary mechanical equipment can be visually displayed, and the fault characteristic frequency can be effectively and conveniently extracted from the frequency spectrum of the correlation coefficient sequence and used for fault diagnosis of the rotary mechanical equipment.

Description

technical field

[0001] The invention relates to a method for extracting fault features of rotating machinery based on vibration signal correlation analysis. Background technique

[0002] Regular shock vibration is a typical feature of fault damage to internal components of rotating machinery, and the frequency of this shock feature is directly related to the specific fault state of rotating machinery. However, due to the fact that there are usually many components in the equipment, there is a certain attenuation in the process of fault shock vibration being transmitted from the fault-damaged vibration source to the equipment surface along a complex path. In addition, other moving elements in the equipment will also excite corresponding vibrations. Coupled with the interference of working environment noise, the fault impact characteristics that vibration sensors can measure on the equipment are usually relatively weak, especially in the early stage of equipment failure and da...

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