机械制造与自动化2023，Vol.52Issue(6)：131-133,146,4.DOI:10.19344/j.cnki.issn1671-5276.2023.06.033
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
摘要
Abstract
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Key words
automatic tool changer system/fault diagnosis/sparse signal processing分类
信息技术与安全科学引用本文复制引用
陆丽丽..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[J].机械制造与自动化,2023,52(6):131-133,146,4.基金项目
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) （江苏城市职业学院）
