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A Prediction Method for Rolling Bearing Performance Retention Reliability

A rolling bearing and prediction method technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of predicting the variation process and different thresholds that cannot be used for the performance reliability of rolling bearings.

Inactive Publication Date: 2018-04-06
HENAN UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method requires prior performance tests to obtain performance thresholds, which are obtained through experiments, and the corresponding thresholds are different depending on the selected damage site and sensor
Therefore, in the existing reliability evaluation methods, when the prior information of the performance density function is unknown and the performance threshold is not set in advance, it is impossible to predict the variation process of the performance reliability of the rolling bearing

Method used

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  • A Prediction Method for Rolling Bearing Performance Retention Reliability
  • A Prediction Method for Rolling Bearing Performance Retention Reliability
  • A Prediction Method for Rolling Bearing Performance Retention Reliability

Examples

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Embodiment 1

[0073] The prediction method of the rolling bearing performance maintenance reliability of the present embodiment 1 comprises the following steps:

[0074] 1) During the best period of rolling bearing operation performance, the friction torque of the rolling bearing in the evaluation time interval is regularly measured by the measurement system, and K performance data of the friction torque are obtained at the current time t=1, K=20000, the kth performance data for x k , k=1, 2,..., 20000, the data unit is N m; the distribution diagram of the obtained rolling bearing friction torque data is as follows figure 1 shown;

[0075] In this embodiment 1, the evaluation time interval is 1 year, each prediction time interval is 1 year, and the unit of time t is year; the rolling bearing performance maintenance reliability prediction method of this embodiment is used to predict the failure of the rolling bearing friction torque performance the time course of the degree in a future tim...

Embodiment 2

[0123] The prediction method of the rolling bearing performance maintenance reliability of the present embodiment 2 comprises the following steps:

[0124] 1) During the best period of rolling bearing operation performance, the vibration acceleration of the rolling bearing in the evaluation time interval is regularly measured by the measurement system, and at the current time t=1, K performance data of vibration acceleration are obtained, K=20000, the kth performance data for x k , k=1, 2, ..., 20000, the data unit is μm / s 2 ; The distribution diagram of the obtained rolling bearing vibration acceleration data is as follows Figure 4 shown;

[0125] In this embodiment 2, the evaluation time interval is 1 year, each prediction time interval is 1 year, and the unit of time t is year; the rolling bearing performance maintenance reliability prediction method of this embodiment is used to predict the failure of the rolling bearing vibration acceleration performance the time cour...

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Abstract

The invention discloses a rolling bearing property retention reliability predication method. The method comprises: acquiring performance data at an optimal operation period of a rolling bearing, so as to construct a performance sample density function; obtaining a confidence interval of a confidence coefficient and a performance random variable according to the little probability event principle; and according to a Poisson counting process, acquiring frequencies, which are out of the performance random variable confidence interval, of the performance data and the rolling bearing property retention reliability, further acquiring the relative performance retention reliability of the rolling bearing in the future, and predicating the invalidation degree of an optimal performance attitude of the rolling bearing in the future time. By means of the method, any prior information of the performance density function is not needed, performance thresholds are not needed to be preset, the invalidation degree of the optimal performance attitude of the rolling bearing in the future time can be predicated, the predication accuracy is high, the invalidation hidden danger can be discovered in advance, and decisions can be provided for taking intervention measures in time and avoiding occurrence of serious safety accident.

Description

technical field [0001] The invention belongs to the technical field of rolling bearing service performance failure evaluation and performance reliability prediction, and in particular relates to a prediction method for rolling bearing performance maintenance reliability. Background technique [0002] Rolling bearing is a precision mechanical element that changes the sliding friction between the running shaft and the shaft seat into rolling friction, thereby reducing friction loss. Rolling bearings are generally composed of inner rings, outer rings, rolling elements and cages. The function of the inner ring is to cooperate with the shaft and rotate together with the shaft; the function of the outer ring is to cooperate with the bearing seat to play a supporting role; Roll between the ring and the outer ring to bear and transmit the load; the cage can evenly distribute the rolling elements, prevent the rolling elements from falling off and collide with each other, guide the ro...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 夏新涛常振李云飞陈龙南翔
Owner HENAN UNIV OF SCI & TECH
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