• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2026, Vol. 62 ›› Issue (15): 497-506.doi: 10.3901/JME.260579

• 摩擦学 • 上一篇    

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基于几何布朗运动的磨损寿命预测方法

刘水清1,2, 唐致凯1, 徐浩然1, 韩旭1,2   

  1. 1. 河北工业大学河北省跨尺度智能装备技术重点实验室 天津 300401;
    2. 河北工业大学机械工程学院 天津 300401
  • 收稿日期:2025-08-01 修回日期:2025-12-24 发布日期:2026-10-13
  • 作者简介:刘水清,女,1989年出生,博士,副教授,硕士研究生导师。主要研究方向为材料/结构可靠性及失效机理。E-mail:liushuiqing0824@126.com;唐致凯,男,2001年出生,硕士研究生。主要研究方向为材料/结构可靠性及失效机理。E-mail:18541242543@163.com;徐浩然,男,2000年出生,硕士研究生。主要研究方向为材料/结构可靠性与失效机理。E-mail:13662071336@163.com;韩旭(通信作者),男,1968年出生,博士,教授,博士研究生导师。主要研究方向为复杂装备先进设计理论与方法。E-mail:xhan@hebut.edu.cn
  • 基金资助:
    国家自然科学基金面上(52575278)、国家自然科学基金青年(52205260)和河北省自然科学基金面上(E2024202190)资助项目。

Wear Life Prediction Method Based on Geometric Brownian Motion

LIU Shuiqing1,2, TANG Zhikai1, XU Haoran1, HAN Xu1,2   

  1. 1. Key Laboratory of Hebei Province on Scale-span Intelligent Equipment Technology, Hebei University of Technology, Tianjin 300401;
    2. School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401
  • Received:2025-08-01 Revised:2025-12-24 Published:2026-10-13

摘要: 面向装备可靠性工程领域中的关键性技术挑战,针对机械零件磨损预测与服役寿命评估展开创新性研究。鉴于传统Wiener过程模型基于正态分布假设的局限性(与磨粒磨损、粘着磨损等典型失效模式下呈现对数正态分布特性的实测数据存在显著偏差),本研究提出一种基于目标增量的几何布朗运动模型,通过引入变漂移系数,精确模拟对数正态分布下的磨损动态演化过程。基于对数转换构建广义Wiener模型,并结合广义应力-强度干涉理论实现寿命预测。大样本仿真实验表明,该方法在理论预测精度和工程适用性上均显著优于Wiener过程模型。基于小样本仿真和点胶阀撞针磨损工程案例的联合验证,在磨损量符合对数正态分布的工况下,所提出的寿命预测方法较传统手段具有更优的预测精度,为重大装备的预防性维护策略制定提供创新解决方案。

关键词: 几何布朗运动, Wiener过程, 蒙特卡洛, 寿命预测

Abstract: Aiming at the critical technical challenges in equipment reliability engineering, this study conducts innovative research on wear prediction and service life assessment of mechanical components. Given the limitations of the traditional Wiener process model based on normal distribution assumptions (which exhibit significant deviations from empirical data showing log-normal distribution characteristics under typical failure modes such as abrasive wear and adhesive wear), this research proposes a geometric Brownian motion model based on target increments. By incorporating a variable drift coefficient, the model achieves precise simulation of the dynamic evolution of wear under log-normal distribution conditions. A generalized Wiener model is constructed through logarithmic transformation, enabling lifetime prediction via generalized stress-strength interference theory. Large-sample simulations demonstrate that the proposed method significantly outperforms Wiener process models in both theoretical prediction accuracy and engineering applicability. Further validation through small-sample simulations and an engineering case study of dispensing valve needle wear confirms the method's superior performance in lifetime prediction for lognormally distributed wear scenarios, which provides innovative solutions for formulating preventive maintenance strategies for critical equipment.

Key words: geometric Brownian motion, Wiener process, Monte Carlo, life prediction

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