基于实时退化量的数控机床状态维修检测间隔期决策研究  

A study on the inspection interval decision of CNC machine tools condition-based maintenance based on real-time degradation

作　　者：任丽娜[1] 陈锦涛 李建华[1] REN Li’na;CHEN Jintao;LI Jianhua(School of Mechanical and Electronical Engineering,Lanzhou University of Technology,Lanzhou 730050,China)

机构地区：[1]兰州理工大学机电工程学院,兰州730050

出　　处：《振动与冲击》2023年第4期81-87,125,共8页Journal of Vibration and Shock

基　　金：国家重点研发计划(2019YFB1707303)。

摘　　要：针对传统状态检测易造成过度检测的问题,提出一种基于实时退化量的数控机床状态检测间隔期确定方法。基于Gamma过程描述数控机床的退化过程,并结合等故障风险,给出退化过程前期的状态检测间隔期;给出系统状态处于缺陷阈值时的期望剩余寿命,并利用其对退化过程后期的状态检测间隔期进行约束,建立两阶段非等周期状态检测间隔期决策模型。以数控机床主轴的加工精度退化过程为例对所提方法进行验证,并与等周期状态检测和基于可靠度的状态检测方法进行对比分析,结果表明,该方法能够大大减少检测次数,降低维修费用,避免了过度检测。该研究成果可为合理确定状态检测间隔期提供参考和借鉴。Traditional state detection tends to cause the problem of over-detection. To solve this problem, a method to determine the interval of numerical control machine tool state detection based on real-time degradation was proposed. The degradation process of computerized numerical control machine tools was described based on the Gamma process, and the risk of failures was considered to give the state test interval in the early stage of the degradation process. The expected remaining life when the system state is at the defect threshold was given and used to constrain the state detection interval in the later stage of the degradation process. Thus, a two-stage non-equal period state detection interval decision model was established. The machining accuracy degradation process of the computerized numerical control machine tool spindle was taken as an example to verify the proposed method, and it was then compared and analyzed with equal interval state detection and reliability-based state detection methods. Results show that the proposed method can greatly reduce the number of inspections, reduce maintenance costs, and avoid excessive inspections. The results can provide a reference for the reasonable determination of the state detection interval.

关 键 词：实时退化量 检测间隔期 Gamma过程 状态维修 数控机床 

分 类 号：TH17[机械工程—机械制造及自动化]