Fault diagnosis method for planetary gearbox based on resonance sparse decomposition and fasta algorithm

Abstract

The invention discloses a planetary gearbox fault diagnosis method based on resonance sparse decomposition and FastICA algorithm. First, the resonance sparse decomposition method is used to decompose the vibration signal into high resonance components and low resonance components, and the low resonance components containing broadband signals are eliminated; The high resonance component containing the vibration signal of the planetary gearbox is used as the observation signal, and then the observation signal is subjected to a resonance sparse decomposition to form a virtual channel signal; the fast independent component analysis algorithm is used to process the observation signal and the virtual channel signal to separate effective faults feature components to identify the fault type. The invention can effectively extract the fault characteristic frequency of the planetary gearbox, solve the problems of fault information loss and modal aliasing in the EMD denoising process of empirical mode decomposition, and can also solve the problem of the difference between the number of source signals and the number of observation signals in ICA The problem of inaccurate decomposition brought about can also accurately and clearly extract the fault characteristic frequency of the planetary gearbox.

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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