Epicyclic gearbox incipient fault diagnosis method based on VMD-AMCKD

Abstract

The invention relates to an epicyclic gearbox incipient fault diagnosis method based on VMD-AMCKD. The method comprises the following steps: S1, acquiring a vibration acceleration signal of an epicyclic gearbox, and determining a VMD parameter; step S2, based on the VMD parameter, performing VMD decomposition for the original vibration signal, and selecting an optical component according to a maximum correlation coefficient criterion; step S3, according to a GOA optimizing algorithm, performing optimizing of a MCKD parameter for the optimal component; step S4, according to the MCKD parameter obtained in the step S3, performing MCKD analysis for an optimal component signal, and then performing envelope demodulation for the signal subjected to deconvolution; step S5, contrasting a bearing theoretical fault characteristic frequency value with a spectral line of which a peak value is obvious in an envelope spectrum, thereby diagnosing out a fault type and determining a fault part. In the method provided by the invention, the GOA algorithm is used, thus, a problem of difficulty in determination of the parameter in the MCKD algorithm is overcome, moreover, signal noise reduction and separation of each frequency band are realized through VMD, fault impact constituents are enhanced further through the MCKD, and the method is more accurate for epicyclic gearbox incipient fault diagnosis.

Description

technical field [0001] The invention belongs to the field of fault diagnosis of rotating machinery, and in particular relates to an early fault diagnosis method of a planetary gearbox based on VMD-AMCKD. Background technique [0002] The planetary gearbox has the advantages of small size, strong carrying capacity, and large transmission ratio, so it has been widely used in industry, transportation, and military fields. If the early failure of the planetary gearbox is not detected in time, the consequences may be disastrous. The early fault vibration signal of the planetary gearbox is very weak and easily covered by noise; coupled with the complexity of the actual working conditions, it is difficult to detect the early fault signal of the planetary gearbox. [0003] Planetary gearbox fault signals are nonlinear and non-stationary. For this type of signal, scholars have introduced many processing methods into the field of fault diagnosis. Common signal processing methods are...

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