摘要
针对细纱机的关键性能参数难以识别以及性能退化模型难以建立的问题,提出一种面向细纱机多元性能退化过程的可靠性评估方法。分析细纱机性能参数之间关系,利用主客观综合权重辨识方法筛选监测性能参数。选择综合权重大于0.5的参数,作为细纱机性能退化的表征参数。利用Wiener过程拟合多元参数退化失效轨迹,通过Copula函数对多元参数退化失效过程进行相关性分析,并利用Gibbs算法估计参数。经应用验证,结果表明:提出的可靠性评估方法符合生产实际、准确性高,有利于提高细纱机性能的可靠性水平。
The key performance parameters of spinning frame are difficult to be indentified and the performance degradation model is difficult to be established.To solve the problem,a reliability evaluation method for multiple performance degradation process of spinning frame is proposed.The relationship between the performance parameters of the spinning frame was analyzed,and the subjective and objective comprehensive weight identification method was used to screen the monitored performance parameters.The parameters with comprehensive weight greater than 0.5 were selected as the characterization parameters of the performance degradation of the spinning frame.The Wiener process was used to fit the multiple parameter degradation failure track.The Copula function was used to analyze the correlation of multiple parameter degradation failure process,and the Gibbs algorithm was used to estimate the parameters.The application results show that the proposed reliability evaluation method is in line with the actual production,and has high accuracy,which is helpful to improve the reliability level of spinning frame performance.
作者
邵景峰
董梦园
牛一凡
陈可心
SHAO Jingfeng;DONG Mengyuan;NIU Yifan;CHEN Kexin(School of Management,Xi’an Polytechnic University,Xi’an 710048,China)
出处
《西安工程大学学报》
CAS
2022年第1期10-16,共7页
Journal of Xi’an Polytechnic University
基金
陕西省重点研发计划项目(2020GY-122)
陕西省教育厅服务地方专项计划项目(20JC013)。
关键词
细纱机
性能参数
退化模型
可靠性评估
spinning frame
performance parameter
degradation models
reliability evaluation