Gear health monitoring index construction method based on order sideband product spectrum

Abstract

The invention discloses a gear health monitoring index construction method based on an order sideband product spectrum, and the method comprises the steps: carrying out the angle domain resampling of a measured vibration acceleration signal through employing a calculation order tracking technology, and carrying out the Fourier transform of a resampling signal, and obtaining an order spectrum; calculating an order sideband product spectrum by using an order spectrum according to the order resolution and the tooth number information, designing a rectangular window by taking the gear tooth fault feature order as a center, and capturing corresponding gear tooth fault information in the order sideband product spectrum; finally, health monitoring indexes are calculated, and an alarm threshold value self-learning method is established by means of a statistical learning method based on data driving; according to the method, the influence of in-band noise on monitoring index construction is effectively inhibited through the order sideband product spectrum technology, the proposed alarm threshold self-learning method is simple and universal, the dependence on professional technicians is avoided, and gear transmission real-time health monitoring and threshold self-setting functions are realized.

Description

technical field [0001] The invention belongs to the technical field of mechanical fault diagnosis, and in particular relates to a gear health monitoring index construction method based on an order sideband product spectrum. Background technique [0002] When the tooth surface of the gear transmission fails, its fault characteristic signal is mainly manifested as an amplitude modulation signal in the time domain, and in the frequency domain, it is centered on the meshing frequency of each order, and the fault characteristic frequency of the failed gear tooth is the bandwidth of the sideband. In the form of center-side frequency, monitoring the meshing frequency of each order of gear transmission and the change of sideband amplitude is the basic idea of ​​gear health monitoring. In the actual measurement of gear transmission vibration acceleration signals, there is always the problem of background noise interference. Although the commonly used narrow-band filtering method can ...

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Problems solved by technology

[0006] In order to overcome the shortcomings of the above-mentioned prior art, the object of the present invention is to provide a gear health monitoring index construction method based on the order sideband product spectrum, which can monitor the health status of the gear transmission in the presence of in-band noise. And based on the data-driven statistical learning method, the self-learning and self-setting function of constructing the indicator alarm threshold is realized

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