基于振动信号分析的数控机床自动换刀系统故障诊断研究  

Research on Fault Diagnosis of CNC Machine Automatic Tool Change System Based on Vibration Signal Analysis

作　　者：陆丽丽 LU Lili(Nantong Open University,Nantong 226006,China)

机构地区：[1]南通开放大学,江苏南通226006

出　　处：《机械制造与自动化》2023年第6期131-133,146,共4页Machine Building & Automation

基　　金：江苏开放大学(江苏城市职业学院)教改研究一般课题项目(23-YB-14)。

摘　　要：以加工中心圆盘式刀库机械手自动换刀系统为研究对象,采用Laplace小波构造参数脉冲字典,利用分裂增广拉格朗日收缩算法求解稀疏表示系数,提取自动换刀循环过程中振动信号的瞬态特征,并用频率、阻尼比、发生时刻等参数表征,实现了系统故障特征的精确提取,提高了自动换刀系统状态分析和诊断的精确性,延长了自动换刀系统的正常工作时间,提升了系统的可靠性。Taking the automatic tool changing system of the disc-type tool magazine manipulator in the machining center as the research object,adopts the Laplace wavelet to construct the parameter pulse dictionary,uses the split augmented Lagrangian shrinkage algorithm to solve the sparse representation coefficient,and extracts the vibration during the automatic tool changing cycle.The transient characteristics of the signal are characterized by parameters such as frequency,damping ratio,occurrence time,etc.,which realizes the accurate extraction of system fault characteristics,improves the accuracy of state analysis and diagnosis of the automatic tool changing system,prolongs the normal working time of the automatic tool changehe system,and enhances the reliability of the system.

关 键 词：自动换刀系统 故障诊断 稀疏信号处理 

分 类 号：TP206.3[自动化与计算机技术—检测技术与自动化装置]