A self-adaptive acquisition method of vibration information during the start-stop process of the rotor system

Abstract

An adaptive acquisition method for vibration information during the start-stop process of the rotor system. First, the original vibration signal during the start-stop process of the rotor system is obtained, and then the estimated instantaneous frequency is obtained based on the nonlinear short-time Fourier transform, and then the estimated instantaneous frequency is obtained based on the estimated instantaneous frequency. Frequency, generalized demodulation of the original vibration signal to obtain the demodulated vibration signal, and then the empirical wavelet transform EWT adaptively decomposes the demodulated vibration signal to extract the fundamental frequency component; finally, the inverse operation of the generalized demodulation is performed on the fundamental frequency component, and the Constructing the fundamental frequency vibration signal; the present invention can adaptively decouple the coupling signal and separate and extract it, and has a good decomposition effect on the local coupling component, which is almost equivalent to the current VKF algorithm in terms of accuracy, and avoids the parameters of the VKF algorithm Design difficult problems.

Description

technical field [0001] The invention belongs to the field of fault diagnosis of a rotor system, and in particular relates to an adaptive acquisition method of vibration information during the starting and stopping process of a rotor system. Background technique [0002] As an important part of the national economy and national defense technology industry, rotating machinery plays a very important role in aerospace, chemical, energy and other industries. For rotating machinery, the smooth operation of the rotor system is the key to ensuring work efficiency and stability. The quality imbalance of the rotor system caused by improper design, manufacturing, assembly and other errors is the main cause of noise and vibration. The information required for diagnosing the vibration faults of the rotor system comes from the steady-state vibration signals. There will be a large number of harmonic signals in the system, which are difficult to obtain in many working conditions. At the sa...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the shortcomings of the above-mentioned existing methods, the object of the present invention is to provide an adaptive acquisition method for vibration information during the start-stop process of the rotor system, which can adaptively decouple and separate the coupling signals, and extract the local coupling components The decomposition effect is good, the accuracy is almost equal to the current VKF algorithm, and it avoids the problem of difficult parameter design in the VKF algorithm

Images