Rotating equipment state monitoring index extraction method based on vibration energy gradient decomposition

Abstract

A rotating equipment state monitoring index extraction method based on vibration energy gradient decomposition comprises the following steps: firstly, collecting a plurality of groups of vibration monitoring data in a stable operation period of rotating equipment, and decomposing the detection data into a plurality of levels of sub-signals based on different energy gradients; calculating a corresponding energy scaling coefficient according to a ratio before and after normalization of each level of sub-signal characteristic energy sequence; then collecting real-time vibration monitoring data of the rotating equipment, decomposing the monitoring data into a plurality of levels of sub-signals based on different energy gradients, and scaling the characteristic energy of a sub-signal component according to an energy scaling coefficient corresponding to each level of sub-signal; and finally, taking the correlation kurtosis ratio of the characteristic frequency of each stage of sub-signal component as a weight, carrying out weighted fusion on the sub-signals corresponding to the same group of real-time vibration monitoring data, and taking the fused characteristic energy as a rotating equipment operation state monitoring index. The method gives consideration to calculation efficiency and reliability, and achieves the operation state monitoring of the rotating equipment.

Description

technical field [0001] The invention belongs to the technical field of mechanical equipment diagnosis, and in particular relates to a method for extracting state monitoring indicators of rotating equipment based on vibration energy gradient decomposition. Background technique [0002] In the field of machinery industry, during the long-term operation of rotating equipment (bearings, gears, etc.), under the influence of alternating loads, micro-damages gradually occur in the equipment structure, and the degree of damage gradually increases with the increase of operating time, which makes the operating performance of the equipment continue to improve. The reduction will eventually lead to functional failure of the equipment, which may cause economic losses in the slightest and lead to major production safety accidents in the severest case. Therefore, in the actual production process, it is necessary to monitor the operating status of the equipment, evaluate the health status o...

AI Technical Summary

Problems solved by technology

[0003] Vibration monitoring is an effective way to monitor the operating status of rotating equipment. Traditional equipment vibration monitoring methods mainly include two types: one is based on vibration data time domain and frequency domain statistical indicators (such as peak-to-peak value, root mean square value, kurtosis index etc.), this type of monitoring method is easily affected by the interference noise in the monitoring data, and it is difficult to characterize the operating status of different parts of the equipment (such as the inner ring, outer ring and rolling element of the rolling bearing), and to realize the positioning of the weak parts of the equipment; The second is vibration monitoring based on resonance energy envelope demodulation. The effectiveness of this type of monitoring method depends on the positioning accuracy of the vibration resonance zone, and the existing resonance zone positioning methods have the defects of cumbersome calculation and inaccurate positioning. Lack of practicality and reliability in the actual equipment production process

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