Gearbox fault detection method based on flexible time-domain averaging

Abstract

The invention discloses a gearbox fault detection method based on flexible time-domain averaging. The gearbox fault detection method comprises the steps of: 1, adsorbing an acceleration transducer on a bearing end cover of a gearbox to be detected; 2, acquiring vibration signals of the gearbox through data acquisition equipment to solve a frequency-domain discrete sampling value of the vibration signals; 3, calculating a continuous time expression of time-domain averaging; 4, converting the continuous time expression into a trigonometric function expansion form; 5, weighting ak to realize filtering, de-noising and order information extracting for the time-domain averaging; 6, carrying out discrete sampling to obtain average sequences of discrete time domains; and 7, observing periodical impacts occurring in the sequences obtained in 6, and judging the type and the severity of a gearbox fault. According to the invention, truncation errors are inhibited effectively, and the advantages of increasing the resolution ratio of the signals and increasing the detection efficiency for the gearbox are achieved while a de-noising effect is achieved.

Description

technical field [0001] The invention belongs to the technical field of gearbox fault diagnosis, in particular to a gearbox fault detection method based on flexible time domain averaging. Background technique [0002] The gearbox detection method based on time domain averaging is an effective means to extract periodic impact signal components from noise interference signals. This method can extract the vibration information of a rotating component from complex mechanical vibration signals, so this method is widely used in the fault diagnosis of gearboxes. [0003] However, the traditional gearbox detection method based on time-domain averaging has the following two defects: [0004] 1) In the fault detection of the gearbox, the sampling frequency of the vibration signal must be an integer multiple of the rotation frequency of the detected gear, otherwise it will cause a truncation error of the signal and affect the detection accuracy of the gear fault. However, this conditi...

AI Technical Summary

Problems solved by technology

Although there are literatures to improve the first defect of the traditional time-domain averaging method, in essence, they are all phase compensation methods based on polynomial interpolation. In order to achieve high compensation accuracy, high-order interpolation is often required, and the amount of calculation Large, difficult for real-time processing

In addition, there is currently no literature that has not improved the second defect of the traditional time-domain average detection method

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