Rotary machinery rolling bearing vibration signal noise reduction demodulation method

Abstract

The invention discloses a bearing fault diagnosis method based on a vibration signal of a rolling bearing of a rotating machine. A vibration signal of a rolling bearing of a rotating machine is collected as an original collection signal, and a series of component signals are extracted from the original collection signal; calculating a cross correlation coefficient between the series of component signals and the original acquisition signal, weighting the component signals by using the cross correlation coefficient, and calculating a weighted sum to obtain a reconstructed signal; and demodulating the reconstructed signal to obtain an energy sequence, and judging the fault condition of the rolling bearing of the rotating machine according to the discrete Fourier transform spectrum of the energy sequence. The diagnosis result obtained through the method can obviously weaken background noise and highlight bearing fault features, and the method has the advantages that the number of parameters needing to be manually selected is small, parameter robustness is high, and calculation is easy, convenient and rapid.

Description

technical field [0001] The invention belongs to the field of fault diagnosis of rolling bearings of rotating machines, and relates to a bearing fault processing method for vibration signals of rolling bearings of rotating machines, in particular to a method for extracting fault characteristic frequencies of rolling bearings from vibration signals of rotating machines, a signal noise reduction demodulation method and a fault diagnosis method . Background technique [0002] In rotating machinery equipment, bearings are the key components to ensure the healthy and stable operation of the equipment. About 30% of the rotating machinery failures are caused by the poor state of the bearings. The performance of the bearings directly affects the life and reliability of the equipment. Vibration analysis is the most commonly used method for bearing fault diagnosis. When performing rolling bearing fault diagnosis, the early minor fault information contained in the vibration signal of ro...

Images