Bearing early fault diagnosis method for multiple noise reduction processing

Abstract

The invention discloses a bearing early fault diagnosis method for multiple noise reduction processing. The method comprises the following steps: collecting a vibration signal of a bearing; carrying out short-time Fourier transform on the bearing vibration signal, and preliminarily judging whether the bearing has a fault or not; adopting wavelet packet transformation to decompose and reconstruct the bearing vibration signal, and carrying out preliminary denoising; decomposing, screening and reconstructing the wavelet packet reconstruction signal by using an ensemble empirical mode decomposition method; eliminating aliasing interference signals contained in the reconstructed signals, and performing multi-layer noise reduction on the bearing vibration signal; carrying out demodulation processing on the reconstructed signal after noise reduction, and extracting a bearing fault frequency; and comparing with a theoretically calculated fault frequency, and diagnosing to obtain a fault conclusion of the bearing. According to the method, a fault analysis mode combining wavelet packet transformation, an ensemble empirical mode decomposition method and autocorrelation calculation denoising is adopted, weak fault features are highlighted, bearing abnormity can be diagnosed and recognized as early as possible in the early fault stage of the bearing, and losses caused by equipment faults are avoided or reduced.

Description

technical field [0001] The invention belongs to the field of fault identification and diagnosis, and in particular relates to an early fault diagnosis method for bearings with multiple noise reduction treatments. Background technique [0002] Rotating machinery is widely used in industries related to national economy and people's livelihood, such as aerospace, military industry and petroleum industry. Rolling bearings are elements that are extremely vulnerable to damage or failure in rotating machinery. Relevant data show that about one-third of the failures of rotating machinery are caused by the failure of rolling bearings; among the failures of motors, the failures caused by bearing failures account for about two-fifths; The rolling bearings that have passed must be tested, and about one-third of the rolling bearings need to be replaced, otherwise it is easy to cause irreversible serious accidents. The above facts show that in order to ensure the stable and efficient op...

AI Technical Summary

Problems solved by technology

However, rolling bearings often have the characteristics of weak impact components and large noise interference in the surrounding environment in the early failure stage, which makes it difficult to identify whether the bearing has an early failure on the one hand, and on the other hand increases the difficulty of early failure type diagnosis of the bearing

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