Planetary gear box fault diagnosis method based on resonance sparse decomposition and FastICA algorithm

Abstract

The invention discloses a planetary gear box fault diagnosis method based on resonance sparse decomposition and a FastICA algorithm, and the method comprises the steps: firstly decomposing a vibrationsignal into a high resonance component and a low resonance component through employing a resonance sparse decomposition method, and removing the low resonance component containing a broadband signal;taking the high-resonance component containing the vibration signal of the planetary gear box as an observation signal, and performing primary resonance sparse decomposition on the observation signalto form a virtual channel signal; and processing the observation signal and the virtual channel signal by using a fast independent component analysis algorithm, and separating effective fault characteristic components, thereby identifying the fault type. According to the invention, the fault characteristic frequency of the planetary gear box can be effectively extracted; the problems of fault information loss and modal aliasing in the EMD denoising process are solved, meanwhile, the problem of inaccurate decomposition caused by different source signal numbers and observation signal numbers inICA can be solved, and the fault characteristic frequency of the planetary gear box can be accurately and clearly extracted.

Description

technical field [0001] The invention belongs to the field of fault diagnosis of rotating machinery, in particular to a fault diagnosis method for planetary gearboxes based on resonance sparse decomposition and FastICA algorithm. Background technique [0002] Planetary gearboxes are widely used in various transmission systems such as aviation, construction machinery, and wind power generation. The working environment is complex, and the surface is subjected to alternating loads. Fault diagnosis and monitoring of planetary gearboxes are crucial to ensuring the normal operation and safety of mechanical systems. Running is important. [0003] In practical engineering applications, the vibration signal of the planetary gearbox is the coupling of various excitation factors, and its frequency components are very complex, including not only the rotation frequency of each component, the meshing frequency of the gear pair and its multiplier, but also the equipment being excited. The ...

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Problems solved by technology

[0005] Purpose of the invention: Aiming at the problem of independent component analysis (ICA) separation failure caused by the installation error of experimental equipment and serious background noise interference in the above-mentioned prior art, the present invention provides a planetary gearbox fault diagnosis method based on resonance sparse decomposition and FastICA algorithm, Can accurately extract the fault characteristic frequency of the planetary gearbox

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