基于动力学建模的滚动轴承全寿命周期退化模型

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振动与冲击 ›› 2024, Vol. 43 ›› Issue (23) : 211-219.

论文

基于动力学建模的滚动轴承全寿命周期退化模型

梁先发1,王义1，2，汤宝平1，2，秦毅1，2，陈谢义1，张光耀1

作者信息 +

LIANG Xianfa1, WANG Yi1,2, TANG Baoping1,2, QIN Yi1,2, CHEN Xieyi1, ZHANG Guangyao1

LIANG Xianfa1, WANG Yi1,2, TANG Baoping1,2, QIN Yi1,2, CHEN Xieyi1, ZHANG Guangyao1

Author information +

文章历史 +

摘要

建立滚动轴承全寿命周期的仿真模型对于其退化性能分析和健康管理具有重要意义。然而，关于如何建立滚动轴承的全寿命周期物理模型的研究很少，为了更好的研究滚动轴承的退化规律，本文提出了一种基于动力学建模的滚动轴承全寿命周期退化模型。首先，基于滚动轴承的结构参数和运动参数分别建立了滚动轴承内、外圈故障的四自由度动力学模型，并通过实验验证，验证了该模型的准确性；然后，本文构建了缺陷指数函数，最后将缺陷指数函数代入动力学模型中获得了滚动轴承全寿命周期退化模型。通过将仿真模型获得的全寿命周期退化振动信号与实测信号进行比较，验证了该退化模型的有效性。本文研究成果对滚动轴承健康状态监测和寿命预测提供了理论支撑。

Abstract

Establishing a simulation model for the entire lifecycle of rolling bearings is of great significance for their degradation performance analysis and health management. However, there is little research on how to establish a physical model for the full life cycle of rolling bearings. In order to better study the degradation law of rolling bearings, this paper proposes a dynamic modeling based model for the full life cycle degradation of rolling bearings. Firstly, based on the structural and motion parameters of the rolling bearing, a four degree of freedom dynamic model for the inner and outer ring faults of the rolling bearing was established, and the accuracy of the model was verified through experimental verification; Then, this article constructs a defect index function; Finally, the defect index function was substituted into the dynamic model to obtain a full life cycle degradation model for rolling bearings. The effectiveness of the degradation model was verified by comparing the degradation vibration signals obtained from the simulation model with the measured signals throughout its entire lifecycle. The research results of this article provide theoretical support for monitoring the health status and predicting the service life of rolling bearings.

导出引用

梁先发1, 王义1, 2, 汤宝平1, 2, 秦毅1, 2, 陈谢义1, 张光耀1. 基于动力学建模的滚动轴承全寿命周期退化模型[J]. 振动与冲击, 2024, 43(23): 211-219

LIANG Xianfa1, WANG Yi1, 2, TANG Baoping1, 2, QIN Yi1, 2, CHEN Xieyi1, ZHANG Guangyao1. LIANG Xianfa1, WANG Yi1,2, TANG Baoping1,2, QIN Yi1,2, CHEN Xieyi1, ZHANG Guangyao1[J]. Journal of Vibration and Shock, 2024, 43(23): 211-219

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