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Bearing life prediction method

A prediction method and technology of bearing life, applied in neural learning methods, measuring devices, testing of mechanical components, etc., can solve problems such as poor prediction accuracy, achieve the effects of improving accuracy, solving long-term dependence, and avoiding dependence

Pending Publication Date: 2022-08-02
NINGBO UNIV
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Problems solved by technology

[0006] The main purpose of the present invention is to propose a bearing life prediction method to solve the problem of poor prediction accuracy in the current bearing life prediction method mentioned in the above background technology

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Embodiment Construction

[0036] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0037] It should be noted that if there are directional indications (such as up, down, left, right, front, back, etc.) involved in the embodiments of the present invention, the directional indications are only used to explain a certain posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication also changes accordingly.

[0038] In the present invention, unless otherwise expressly speci...

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Abstract

The invention discloses a bearing life prediction method, which comprises the following steps: acquiring a vibration signal of a bearing, and decomposing the vibration signal by using KLVMD to obtain each modal component of the vibration signal; calculating a sample entropy of each modal component to obtain a time sequence state feature; and predicting the residual life of the bearing in combination with BiLSTM. According to the bearing life prediction method provided by the invention, on the basis of the VMD, the immune operator and the fitness function are combined, so that the parameters K and a of the VMD can be obtained through a self-adaptive optimization method, and dependence on priori knowledge is avoided. Wherein the antibody concentration and the fitness function of the immune operator both adopt KL divergence, so that the convergence rate of KLVMD is effectively improved, the signal decomposition capability is improved, high-quality characteristic signals are obtained, and the prediction accuracy of the residual life of the bearing is remarkably improved.

Description

technical field [0001] The invention relates to the technical field of bearing performance analysis, in particular to a bearing life prediction method. Background technique [0002] Rolling bearings are important basic components in the equipment manufacturing industry, which directly determine the performance and reliability of mechanical equipment. Due to machining or installation errors, as well as fatigue, wear and corrosion during service, the bearing will generate abnormal vibration, which directly affects the accuracy and stability of the entire system, and even causes serious mechanical accidents. Accurately predicting the remaining life of a bearing can significantly reduce the incidence of mechanical failure. Therefore, it is necessary to monitor the running state of the bearing, grasp the remaining life of the bearing, and maintain the bearing in an effective and timely manner to ensure the normal operation of the mechanical equipment. [0003] The current beari...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06K9/00G06N3/04G06N3/08G06N3/12G01M13/045G06F119/04
CPCG06F30/27G06N3/086G06N3/126G01M13/045G06F2119/04G06N3/044G06N3/045G06F2218/02G06F2218/08G06F2218/12Y02T90/00
Inventor 刘晓敏
Owner NINGBO UNIV
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