Rolling bearing life stage identification method based on MAMTL

Abstract

The invention discloses a rolling bearing life stage identification method based on MAMTL, and the method comprises the following steps: S1, carrying out the life stage division of the full life data of a rolling bearing, and dividing the full life data into four stages: a normal stage, an early degradation stage, a medium degradation stage, and a complete failure stage; s2, collecting the vibration acceleration of the rolling bearing of which the life stage division is completed in the whole life stage as a source domain sample set, and collecting the vibration acceleration of the rolling bearing to be identified as a target domain sample set; s3, training an MAMTL network, wherein the MAMTL is composed of an inner ring parallel network, an outer ring element learning network and a prototype network; and S4, identifying class labels of to-be-tested samples of the target domain: completing classification of the to-be-tested samples of the target domain by using the trained MAMTL, namely completing life stage identification of the rolling bearing. According to the method, a small number of non-equal life stage samples under the historical working condition of the rolling bearing can be used for carrying out high-precision life stage identification on the to-be-detected sample under the current working condition.

Description

technical field [0001] The invention belongs to the technical field of rolling bearing life prediction, in particular to a method for identifying life stages of rolling bearings based on MAMTL. Background technique [0002] Rolling bearings are widely used in various key equipment such as gas turbines, aero engines, and wind turbines. Their life and reliability largely determine whether the equipment can operate normally, achieve predetermined functions, and achieve expected service life. Rolling bearings will go through a series of different life stages throughout their service. Therefore, the research on the life stage identification of rolling bearings is helpful to avoid catastrophic accidents caused by key equipment failures, reduce equipment maintenance costs, and improve equipment efficiency. Candidate rolling bearings are screened out and the bearings with the optimal life are installed in the equipment. [0003] At present, the research on the life stage identific...

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Problems solved by technology

[0004] The purpose of the present invention is to overcome the life stage identification accuracy rate caused by the relatively large difference in sample distribution, the small number of life stage samples that can be trained, and the uneven number of samples in different life stages in the prior art when identifying rolling bearing life stages under variable

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