摘要
为了准确评估谐波减速器可靠度,实现失效预测和主动维护,提出了一种谐波减速器相关竞争失效可靠度评估方法。首先,根据谐波减速器精度性能退化测试数据,将指数模型应用至精度状态转移方程,采用粒子滤波算法进行了谐波减速器精度退化建模、参数更新和退化趋势分析,实现了谐波减速器精度退化失效寿命分布预测和精度动态可靠度评估;然后,结合谐波减速器强度失效和刚度退化失效的样本及失效寿命分布,基于Copula相关函数,建立了谐波减速器精度失效、刚度失效和强度失效的相关竞争失效动态可靠度评估方法;最后,通过谐波减速器精度、刚度和强度的相关竞争失效分析,得到了谐波减速器加速工况和额定工况下精度退化失效、刚度退化失效和强度失效的失效次序,并通过谐波减速器试验失效样本对所提出方法的有效性进行了验证。
Here,to correctly evaluate the reliability of harmonic drives,and realize failure prediction and active maintenance,a dependent competing failure reliability evaluation method for harmonic drives was proposed.Firstly,according to precision performance degradation test data of harmonic drives,the exponential model was applied to the precision state transition equation.The particle filtering algorithm was used to model precision degradation of harmonic drives,update parameters,analyze the degradation trend,and realize failure life distribution prediction for precision degradation of harmonic drives and precision dynamic reliability evaluation.Then,by combining harmonic drives’strength failure and stiffness degradation failure samples as well as distribution of failure life,based on Copula correlation function,a dynamic reliability evaluation method for dependent competing failure of harmonic drives’precision failure,stiffness failure and strength failure was established.Finally,through dependent competing failure analysis of harmonic drives’precision,stiffness and strength,the failure order of harmonic drives’precision degradation failure,stiffness degradation failure and strength failure under acceleration and rated working conditions was obtained.The effectiveness of the proposed method was verified with failure samples of harmonic drive tests.
作者
张弦
王鹏
张昌明
姜歌东
ZHANG Xian;WANG Peng;ZHANG Changming;JIANG Gedong(School of Mechanical Engineering,Shaanxi University of Technology,Hanzhong 723001,China;School of Mechanical Engineering,Xi’an Jiaotong University,Xi’an 710049,China)
出处
《振动与冲击》
EI
CSCD
北大核心
2024年第15期277-287,共11页
Journal of Vibration and Shock
基金
陕西省教育厅青年创新团队项目(23JP025)。
