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Method for visualized dynamic assessment of rolling bearing reliability based on classified statistics

A rolling bearing and dynamic evaluation technology, which is applied in the direction of design optimization/simulation, calculation, special data processing applications, etc., can solve the problem of inability to self-adaptive adjustment of running time, inability to realize visual display and real-time tracking of rolling bearings, and dynamic evaluation of reliability. Intuitively express equipment degradation status and other issues to achieve real-time tracking, dynamic evaluation, and reliability

Active Publication Date: 2017-03-22
XI AN JIAOTONG UNIV
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Problems solved by technology

However, the distribution model in this method is a static model that requires prior knowledge and cannot be adaptively adjusted with changes in running time, and the model cannot intuitively express the degradation state of the equipment
Therefore, it is impossible to realize the visual display and real-time tracking of the degradation process of rolling bearings and the dynamic evaluation of reliability

Method used

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  • Method for visualized dynamic assessment of rolling bearing reliability based on classified statistics
  • Method for visualized dynamic assessment of rolling bearing reliability based on classified statistics
  • Method for visualized dynamic assessment of rolling bearing reliability based on classified statistics

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Embodiment Construction

[0033] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0034] refer to figure 1 , a visual dynamic evaluation method for rolling bearing reliability based on class statistics, including the following steps:

[0035] The first step is to obtain the vibration data of the rolling bearing, and extract the two performance characteristic indexes of root mean square and kurtosis. Normalization processing: X i and are respectively the performance index data sequence of the i-th dimension and the preprocessed performance index data sequence, and the preprocessing formula is:

[0036]

[0037] like figure 2 as shown, figure 2 It is a graph showing the change of two performance indexes of rolling bearings with time;

[0038] The second step is to obtain a certain amount of two-dimensional performance index data under normal conditions as a statistical sample Call this statistical sample the normal clas...

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Abstract

A method for visualized dynamic assessment of rolling bearing reliability based on classified statistics comprises the steps that vibration signals of a rolling bearing are acquired at first; a root-mean-square index and a kurtosis index of the signals are computed, and the two performance index sequences are taken as an analysis object to obtain a certain quantity of statistic samples at normal running moments; an initial classified probability model based on a kernel density method is established; an initial classified probability image model is obtained through visualized processing; then, classification boundary lines are determined; a fault rate is extracted from the classified probability image mode; a reliability index is computed; when new performance data exists, class judgment will be conducted according to the classification boundary lines, a new classified probability image model will be established, classification boundary lines of each class are determined, and a reliability index is extracted; and different classes of samples are obtained along with continuous accumulation of the analysis samples, so that the classified probability image and the reliability index can be updated continuous, and the dynamic assessment of the rolling bearing reliability can be achieved. The method provided by the invention is dynamic, accurate and visualized.

Description

technical field [0001] The invention relates to the technical field of dynamic evaluation of rolling bearing reliability, in particular to a visual dynamic evaluation method of rolling bearing reliability based on class-based statistics. Background technique [0002] Rolling bearings are important components and one of the most vulnerable key components in mechanical equipment, and their performance and reliability play a vital role in the performance and reliable operation of the entire mechanical equipment. According to statistics, in mechanical equipment failure accidents, the number caused by rolling bearing failure accounts for about 30%. Therefore, it is very necessary to evaluate the reliability of rolling bearings, prevent equipment accidents due to their failures, and ensure the safe and stable operation of equipment. [0003] The traditional reliability evaluation of rolling bearings is based on a large amount of failure test data for overall inference to obtain r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/17G06F30/20
Inventor 张四聪孟文俊朱长旭徐光华
Owner XI AN JIAOTONG UNIV
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