Constant-depth-tooth bevel gear fault diagnosis method based on modified cepstrum

Abstract

The invention discloses a constant-depth-tooth bevel gear fault diagnosis method based on modified cepstrum and belongs to the technical field of fault diagnosis. The method includes: firstly, measuring a constant-depth-tooth bevel gear box by an acceleration sensor to acquire gear acceleration vibration signals to be analyzed; secondly, introducing the acquired signals to MATLAB (matrix laboratory) to obtain original signals, and subjecting the original signals to Fourier transform and logarithmic transformation to obtain a log power spectrum; thirdly, calculating maximum entropy of the log power spectrum by maximum entropy estimation algorithm; fourthly, drawing a maximum entropy spectrogram (namely a modified cepstrum diagram) of the log power spectrum by MATLAB, and accurately extracting gear fault feature information according to amplitude distribution in the modified cepstrum diagram. The method is an effective fault feature information extraction method, is applicable to fault diagnosis for constant-depth-tooth bevel gears, and is available for quickly and accurately extracting fault feature frequency to finally allow for fault diagnosis on the gears. The method is novel for the fault diagnosis and feature extraction for constant-depth-tooth bevel gears, and is effectively referable for composite fault diagnosis techniques for gears and other rotating machines.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis and relates to a gear fault diagnosis method, in particular to a contour bevel gear fault diagnosis method based on an improved cepstrum method. Background technique [0002] As one of the most commonly used transmission methods in mechanical equipment, gears transmit motion and power through continuous meshing of teeth. As one of the two tooth systems of spiral bevel gears, the contour bevel gear has the characteristics of stable transmission, high load capacity, and hard tooth surface scraping technology, so it is especially suitable for high-power and high-torque heavy-duty transmission fields. Core transmission components in important fields such as CNC machine tools, automobile transmission systems, and aerospace equipment. This kind of gear usually works under complex working conditions such as heavy load, impact, and variable load, and pitting, gluing, wear and even broken teeth of...

AI Technical Summary

Problems solved by technology

However, vibration signals are generally nonlinear, non-stationary complex signals, and often mixed with a large amount of background noise, making diagnosis very difficult

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