Resonant sparse decomposition and FastICA algorithm-based planetary gear box fault diagnosis method

Abstract

The invention discloses a resonant sparse decomposition and FastICA algorithm-based planetary gear box fault diagnosis method. The resonant sparse decomposition and FastICA algorithm-based planetary gear box fault diagnosis method comprises the following steps of 1) decomposing a vibration signal to a high-resonant component and a low-resonant component by a resonant sparse decomposition method, and removing the low-resonant component containing a broadband signal; 2) taking the high-resonant component containing a planetary gear box as an observation signal, and performing resonant sparse decomposition on the observation signal to form a virtual channel signal; and 3) processing the observation signal and the virtual channel signal by a rapid independent component analysis algorithm, andseparating out an effective fault characteristic component so as to identify a fault type. By the resonant sparse decomposition and FastICA algorithm-based planetary gear box fault diagnosis method, the fault characteristic frequency of the planetary gear box can be effectively extracted, the problems of fault information loss and mode mixing during the EMD denoising process are solved, meanwhile,the problem of decomposition inaccuracy caused by difference between source signal numbers and observation signal numbers in ICA can be solved, and the fault characteristic frequency of the planetarygear box also 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 a planetary gearbox 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: In view of the problems in the prior art that the ICA separation fails due to experimental equipment installation errors and serious background noise interference, the present invention provides a fault diagnosis method for planetary gearboxes based on resonance sparse decomposition and FastICA algorithm

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